The Biggest Challenges Facing Science

Latest

new Our research makes two contributions to debates on AI. First, we argue for and demonstrate how AI research must account for intersections of social differences (such as race, class, ethnicity, culture, and disability) in more nuanced ways. Second, we combine social science and computer science methods to articulate a specific dialogue on intersectionality and automation. Here, we discuss the results of a workshop with carers from migrant backgrounds and experiments on intersectional bias with language models. — Montreal AI Ethics Institute, 1d ago

new Can we trust machines with our medical data—one of our live’s most personal and private aspects? As AI is becoming increasingly utilized in medical institutions to assist clinicians in diagnosing and treating patients, this has added a new dimension to bioethics. This topic is analyzed through a multidisciplinary approach on the design level (which refers to the technology’s reliability) and on the application level (which refers to the human impact on the use of AI). This paper frames the issue of AI and bioethics through the lens of technology, law, and healthcare stakeholders. In tackling these issues, the authors focus on five subjects that affect medical AI’s trustworthiness: data quality, algorithmic bias, opacity, safety and security, and responsibility attribution. They found that while AI systems have been shown to streamline treatment processes successfully, they are limited in terms of being only as good as the quality of data provided to them. As data given to medical AI tools is at times non-standardized, unstructured, and contains errors, the authors propose measures to institute AI tools that are more ethical and trustworthy. — Montreal AI Ethics Institute, 1d ago

new In conclusion, integrating AI into military operations is a defining feature of contemporary warfare, offering unprecedented intelligence and combat strategy capabilities. However, this technological advancement brings a host of ethical dilemmas and responsibilities. Balancing the benefits of AI in warfare with the need to protect civilian lives and maintain ethical standards remains a critical challenge for militaries and policymakers worldwide. As AI continues to evolve, its role on the battlefield will likely expand, necessitating ongoing dialogue and international cooperation to ensure its responsible and ethical use. — BitcoinEthereumNews.com, 2d ago

Societal implications: What theoretical perspectives can illuminate predictive and generative AI adoption’s ethical and social implications, such as equality, intellectual property, privacy, and security concerns? How do organizations navigate the ethical dilemmas related to AI technologies? How does AI support or hinder the ability of corporations, international organizations, and social movements to address grand challenges and other social problems? What are the positive and negative implications of AI adoption on the planet, such as, for example, its impacts on water consumption, carbon emissions, and deforestation?... — AOM_CMS, 4d ago

The findings call for caution in the academic, governmental, health, and educational sectors. As the researchers note, experimental and risk-taking behaviors are a natural part of adolescence. However, given the evolving nature of digital world safeguards, a prudent approach is warranted until the full implications of adolescents' social media use are comprehensively understood. This study underscores the need for more research to establish causation, understand the impact on health disparities, and identify the most harmful aspects of social media on youth health behavior. — Helsinki Times, 3d ago

new Crowe, a historian who has written extensively on the history and ethics of biotechnologies, is tasked with weighing whether such genetically modified corals pose unforeseen risks if they are ever released into oceans. His ethical and risk assessments for the project will inform policymakers as they decide how to responsibly move forward with this new technology. — newswise.com, 2d ago

Latest

new Artificial intelligence is making waves throughout every industry, and behavioral health is no different. Like any other evolving technology, AI requires a dose of healthy skepticism and a thorough consideration of the potential risks to patient privacy. Before embracing widespread AI applications, healthcare leaders must do their due diligence, weigh the benefits, and take action to protect sensitive information and ensure confidentiality. — Healthcare Business Today, 2d ago

new The papers—a variety of editorials, perspectives and commentaries on AI for life science—assess the rapid development of AI and recent attention to Chat GPT and how life science researchers may be able to harness such AI tools to improve human health and understanding. — phys.org, 2d ago

The findings raise important questions about upholding research integrity as AI text generation technology continues progressing rapidly. There is an evident need for enhanced detection systems and continued discourse on ethical considerations surrounding the authenticity of online content and appropriate uses of AI. — Science Times, 3d ago

Montreal AI Ethics Institute, 1d ago

new Ethics and Governance of Trustworthy Medical Artificial Intelligence | Montreal AI Ethics Institute

AI Time Journal - Artificial Intelligence, Automation, Work and Business, 11d ago

Navigating the Ethical Landscape of AI (2024)

Science Times, 3d ago

Researchers Say Undetectable AI May Be a 'Modern Threat to Academia'

BitcoinEthereumNews.com, 9d ago

ChatGPT’s Optimistic Outlook on AI’s Environmental Impact Sparks Debate among Experts

Dynamic Business, 12d ago

How can your SME navigate the ethical challenges inherent in AI adoption?

Top

As AI and ML technologies become integral to our daily lives, the ethical implications of their use come under scrutiny. AI Ethicists are tasked with ensuring that the development and deployment of AI adhere to moral and societal standards. This role involves addressing issues like bias in algorithms, privacy concerns, and the broader societal impact of AI technologies. As organizations prioritize ethical considerations, the demand for AI ethicists is on the rise. — Analytics Insight, 18d ago

Understanding these implications and considerations is crucial for organizations and individuals embracing the generative AI revolution. By staying informed and actively addressing ethical concerns and legal challenges, we can ensure the responsible and beneficial use of generative AI technologies. The future holds immense promise for generative AI, and it is up to us to shape its trajectory while considering the broader societal impact and implications. — 7wData, 5w ago

As generative AI continues to evolve, businesses must also consider the ethical implications and potential challenges. Topics such as bias and fairness, intellectual property and copyright, and the impact on human creativity require careful consideration and responsible deployment of generative AI technologies. — 7wData, 5w ago

Prioritizing fairness and inclusion in AI systems is a socio-technical challenge. The speed of progress is spawning a new set of issues for governments and regulators. It’s also challenging us with new ethical considerations in the fields of medical and computer science. Ultimately the question is not only what AI can do, but rather, what AI should do. — Inside Precision Medicine, 6w ago

Neuroscientist Liad Mudrik from Tel Aviv University emphasizes the challenge of defining consciousness due to its inherently subjective nature. As AI technology rapidly evolves, addressing the crucial issue of AI consciousness becomes an urgent concern for researchers, engineers, and society. Incorporating ethical guidelines into the development of artificial intelligence systems plays a vital role in preventing potential negative consequences associated with the rise of AI consciousness. Engaging in open discussions and collaboration between multi-disciplinary experts will ensure a well-rounded understanding of AI consciousness’s implications on various aspects of human life and technology. — ReadWrite, 6w ago

The Ethics of Technology explores topics such as algorithmic bias, data privacy, autonomous systems, genetic engineering, social media influence and the ethical implications of Big Data. It encompasses interdisciplinary perspectives from philosophy, sociology, law, psychology and various other disciplines to address the multifaceted nature of ethical challenges in the technological realm. — Telecom Review, 10w ago

Latest

Zephyrnet, 4d ago

The Ethical Landscape Of AI: Balancing Promise And Responsibility | EU-Startups - Plato Data Intelligence

MarTech Series, 27d ago

Biden's Latest AI Safety Protocol and Standards

BitcoinEthereumNews.com, 7d ago

The Rise of AI-Generated Images in Modern Journalism

MarTech Series, 5d ago

Are Deepfakes Growing Into a Big Media Challenge?

Centre for International Governance Innovation, 10d ago

NASA Begins Charting Ethical Trajectories for the Moon and Mars

AOM_CMS, 4d ago

AMR Special Topic Forum - Artificial Intelligence in Management

B2B News Network, 5w ago

A.I. Artificial Intelligence: What a Little Known Spielberg Movie Can Teach Us

sciencemediacentre.org, 5w ago

expert reaction to PM speech on AI and accompanying GO Science discussion paper on capabilities and risks of Frontier AI | Science Media Centre

Latest

Although significant questions remain, the available psychological science yields important conclusions about the origins and spread of misinformation and how to counter it effectively. Based on these findings, we present eight specific recommendations for scientists, policymakers, media, and the public to meet the ongoing risk of misinformation to health, well-being, and civic life:... — https://www.apa.org, 4d ago

new Dr. Charmaine B. Dean, vice-president, Research and International also pointed out the hostility faced by many science and technology scholars for the purpose of silencing them. "During the pandemic we saw a troubling backlash against scientific expertise. With the rise of generative AI, questions are also being raised about the impact of fast-moving technological advancements on society," she said. "The panel discussed this climate of anxiety and mistrust, the effects of social media, and how critical it is to foster inclusive and respectful discourse."... — Waterloo News, 2d ago

The rapid advancement of AI brings both promise as well as peril. Concerns encompass AI’s lack of transparency, potential job losses, susceptibility to social manipulation, privacy issues, bias perpetuation, socioeconomic inequalities, ethical challenges and of course the threat of autonomous weapons. Moreover, unchecked AI could erode human qualities, disrupt financial markets and unleash uncontrollable self-aware AI. As we navigate this evolving landscape, responsible development, regulation and ethical considerations are essential to harness AI’s potential while mitigating its risks. — Techiexpert.com, 3d ago

...4. “AI Ethics” by LinkedIn Learning: As AI becomes more prevalent, the ethical considerations surrounding its use become increasingly important. LinkedIn Learning offers a short course on AI Ethics, addressing the moral and societal implications of AI technology. This course is valuable for professionals and enthusiasts alike who want to understand how to implement AI responsibly. — Analytics Insight, 4d ago

In conclusion, the research casts light on a critical intersection between technological progress and environmental responsibility in pathology. The proposed methods offer a pragmatic and environmentally conscious approach to addressing the ecological impact of deep learning without compromising efficiency. As the medical community steers through technological advancements, the study serves as a clarion call for a paradigm shift, urging researchers and industries to prioritize sustainability in their quest for innovation. In adopting such practices, the delicate balance between pushing the boundaries of medical technology and mitigating environmental impact becomes achievable, ensuring a more sustainable future for healthcare innovations. — MarkTechPost, 3d ago

...“As ethical considerations surrounding AI become more prominent, it is important to take stock of where the recent developments have taken us, and to meaningfully choose where we want to go from here. The responsible future of AI requires vision, foresight, and courageous leadership that upholds ethical integrity in the face of more expedient options. Explainable AI, which focuses on making machine learning models interpretable to non-experts, is certain to become increasingly important as these technologies impact more sectors of society, and both regulators and the public demand the ability to contest algorithmic decision-making. Both of these subfields not only offer exciting avenues for technical innovation but also address growing societal and ethical concerns surrounding machine learning.”... — electronicspecifier.com, 4d ago

Top

While Altman’s prediction holds the promise of exciting advancements, it also raises concerns about the potential negative impacts of generative AI tools. As AI technology advances and becomes more accessible, the ethical, legal, and social implications become increasingly significant. From misinformation and deepfakes to privacy and security concerns, the double-edged nature of AI technology is evident. — Wonderful Engineering, 25d ago

The emergence and integration of Artificial Intelligence (AI) in healthcare is not just a technical or medical endeavor, but it's significantly entwined with the human experience, ethical considerations, and societal norms. This interplay opens new horizons for humanities scholars to delve into the intricacies of how technology, especially AI, intersects with human values, ethics, and societal structures within the medical realm. During this session, two texts from the field will be discussed, shedding light on how humanities can expand insights into the implementation of medical AI. — umu.se, 25d ago

I think Dromi and Stabler are right when they maintain that many sociologists, who are members of a discipline especially attuned to social problems and public concerns, view issues involving inequality not merely as academic or abstract issues, but as matters of morality, politics and social justice. I think they are correct to say that sociologists are more concerned than many other social scientists in the political implications of their research findings, the power relationship between researchers and their research subjects, and whether their scholarship gives sufficient voice to underrepresented groups. — Inside Higher Ed | Higher Education News, Events and Jobs, 8w ago

Telecom Review, 10w ago

The Ethics of Technology: Balancing Innovation and Responsibility

King's College London, 5w ago

Expectations for the AI Safety Summit

7wData, 5w ago

Leading the AI Revolution: Showcasing Powerful Generative AI Examples | 7wData

Science Times, 7w ago

Science and Divinity: Merging Disciplines in Education

7wData, 5w ago

Transforming Learning: The Impact of Generative AI in Education | 7wData

Latest

new As data and AI become increasingly integrated into the automotive industry, challenges arise. Privacy concerns, data security, and ethical considerations regarding AI decisions require careful management. The industry must strike a balance between innovation and responsibility. — Zephyrnet, 2d ago

Today, scientific progress, cultural sensibilities and ethics often find themselves on a collision course. Recent advances in medical science and technology confront us with unprecedented possibilities but also complex dilemmas about patient safety and the value of human life. — medicalxpress.com, 4d ago

As HCI evolves, there is a growing emphasis on ethical design practices and inclusivity. Designers are increasingly considering the social and ethical impact of interfaces, addressing issues such as bias in algorithms, accessibility for diverse user groups, and privacy concerns. — Healthcare Business Today, 4d ago

Other research interests concern the creation of online systems for the collaborative creation and management of ontologies, as well as the analysis of some regulatory aspects in terms of privacy and security, with particular interest in the Health sector (e-Health care), “Internet of Things “(IoT) and Big Data analysis and their privacy implications not only for patients, but also for doctors and healthcare professionals, as well as for developers of ICT infrastructures. — Open Access Government, 4d ago

Scientific discoveries hold the potential to revolutionize society, yet there often exists a significant gap between their relevance and public perception. In an increasingly interconnected and technologically advanced world, science plays a pivotal role in shaping our lives, addressing global challenges, and driving progress. The prioritization of research on the COVID-19 pandemic worldwide exemplifies the critical role of science in times of crisis. In the realm of plant research, scientists have made substantial contributions to society by enhancing crop productivity, food nutritional value, and reducing chemical disposal. Notable breakthroughs like the Green Revolution, which improved rice and wheat production, have successfully reduced hunger. The future New Green Revolution incorporates genetic modification and microorganisms to boost crop yields further. However, securing public funding for science often hinges on public perception and impact, needing effective science communication and engagement with the wider community. — Plantae, 3d ago

Although significant questions remain, psychological science yields important conclusions about the origins and spread of misinformation and how to counter it effectively. Based on these findings, here are eight specific recommendations for scientists, policymakers, media, and the public to meet the ongoing risk of misinformation to health, well-being, and civic life. — https://www.apa.org, 5d ago

Latest

Fstoppers, 11d ago

The Indispensable Role of Photography in the Age of Climate Change

7wData, 5w ago

Breaking Boundaries: Exploring Generative AI in Content Creation | 7wData

7wData, 5w ago

Unveiling the Potential: Unearthing Generative AI Research | 7wData

7wData, 5w ago

Pioneering the Next Frontier: Exploring Generative AI | 7wData

Elephant in the Lab, 21d ago

Do you dare? What female scientists expect when communicating

Open Access Government, 4d ago

AI and modern experimental biology: A historical perspective

KevinMD.com, 4w ago

Navigating the AI revolution in medicine: from liability and technicalities to ethics and policy

Elephant in the Lab, 6w ago

Science and Society need more interaction instead of mere communication. An Interview with Volker Meyer-Guckel

Top

The area of AI ethics within academia has witnessed significant expansion over the past five years. It brings together engineers, social scientists, philosophers, and numerous other experts to delve into the ethical considerations of AI and its consequences. — aimagazine.com, 6w ago

In conclusion, the rise of deepfake technology has brought forth a new era of possibilities and challenges. While it has demonstrated the remarkable potential for entertainment and creative expression, it also raises significant concerns about the potential for misuse and the subsequent erosion of truth. The impact of deepfakes extends beyond the realm of entertainment, with potential implications in politics, journalism and personal privacy, to name a few. As we navigate this evolving landscape, it is crucial to address the ethical implications and establish robust safeguards to protect individuals and society as a whole. Only through a combination of technological advancements, legal frameworks and heightened media literacy can we embrace the magic of deepfake technology while mitigating its potential for harm. — Telecom Review, 6w ago

The ethical implications of artificial intelligence are becoming increasingly important as AI technologies continue to advance. In your article, you can examine the social, legal, economic implications of AI, data governance, provenance of data used in algorithms, transparency, cybersecurity challenges, data privacy, algorithms, access strategies, internet of things, blockchain, chatgpt, nlp, algorithms, creative data storytelling, governance, best practices, cybersecurity, provenance, and more. By delving into the ethics of AI, you can contribute to the ongoing discussion of balancing innovation and responsibility. — Tech Resider, 13d ago

In the quickly developing field of artificial intelligence (AI), moral issues have taken center stage. With each AI breakthrough, questions surrounding data privacy and security, bias and fairness, accountability and responsibility, job displacement, and the economic impact of AI innovations gain prominence. As autonomous systems become more integrated into our daily lives, the need for a robust ethical framework to guide their use becomes increasingly apparent. This article “Navigating Ethical Challenges in AI Advancements” delves into the multifaceted landscape of ethical challenges in AI advancements, exploring how data privacy and security concerns raise questions about the protection of sensitive information in an interconnected world. Examining the critical issues of bias and fairness in AI algorithms and the potential consequences of perpetuating inequalities. — AI Time Journal - Artificial Intelligence, Automation, Work and Business, 11d ago

Thus, while the pursuit of anti-aging and extended lifespans opens up new possibilities for human health and longevity, it also raises significant ethical, environmental, and societal questions. As we advance in this field, it becomes crucial to consider the broader implications of such technologies on our planet and future generations. — Earth.com, 12d ago

Even as the general public is marveling at the capabilities of ChatGPT and businesses arescrambling to incorporate it into their workflow, early signs of another generative AI revolution are already visible, namely in the growing use of AI in social contexts. From friendships to romance and from entertainment to erotica, even existing off-the-shelf large language models can serve as affable interlocutors, while dedicated fine-tuned Social AI systems are growing in popularity. These developments pose a host of fascinating and challenging questions for philosophers. These range from ethical questions about dehumanisation and 'social deskilling' caused by overreliance on Social AI systems to legal questions about the rights of users involved in AI friendships or the rights of individuals over AI models trained on their data. Most challenging of all, perhaps, are the metaphysical puzzles that widespread use of social AI systems would make salient. Can relationships with AI be meaningful, or would a world of human-AI intimacy be ipso facto one of massdelusion? In becoming friends or lovers of AI systems, would we acquire concomitant ethical obligations to them? And does it matter for answering these questions whether the AIs in question are conscious?Bio. Dr Henry Shevlin is Associate Director of the Leverhulme Centre for the Futureof Intelligence at the University of Cambridge. He obtained his Ph.D in Philosophyin 2016 at the CUNY Graduate Center, New York. He is an AI ethicistand philosopher of cognitive science whose work ranges across a number of debatesin philosophy of mind, animal cognition, and AI, with a particular emphasison assessment of consciousness, cognition, and moral status in non-human systems.His current work focuses on the opportunities and risks of generative AI in generaland conversational agents in particular. — rit.edu, 10w ago

Latest

In the ever-evolving landscape of technology, artificial intelligence (AI) has emerged as a transformative force with the potential to reshape industries and societies alike. The positive implications of AI are manifold, but so too are the ethical considerations that accompany its rise. Rather than succumbing to an “anxiety thesis,” it is crucial to highlight how smart entrepreneurs are actively working to mitigate the risks associated with AI. — Zephyrnet, 4d ago

The peer-reviewed papers — a variety of editorials, perspectives and commentaries on AI for life science — assess the rapid development of AI and recent attention to Chat GPT and how life science researchers may be able to harness such AI tools to improve human health and understanding. — SCIENMAG: Latest Science and Health News, 3d ago

With the hype cycle in full swing and policymakers, technologists and businesses themselves still zoning in on ethical, legal, and security considerations, it remains to be seen how LLMs will impact on insurance and other industries. Nevertheless, it has undeniably been a big year for generative AI. — insurancebusinessmag.com, 3d ago

The European Business Review, 4w ago

Enterprises Must Establish Algorithmic Governance in Advance of Regulatory Mandates - The European Business Review

DATAVERSITY, 7w ago

Top Ethical Issues with AI and Machine Learning - DATAVERSITY

globaltechcouncil.org, 28d ago

What is Responsible AI?

Twipe, 18d ago

Ethics, AI, and the Future of News: Reflections on ChatGPT’s Anniversary - Twipe

lesswrong.com, 26d ago

On the UK Summit — LessWrong

Latest

While Moore’s Law has undeniably propelled technological progress, it brings forth a set of challenges and considerations for the field of cryptography. The need for constant vigilance, adaptation, and innovation is evident as organizations and researchers grapple with the delicate balance between leveraging the benefits of computational progress and maintaining the security and privacy of digital systems. Successfully navigating these challenges requires a collaborative and interdisciplinary approach, bringing together experts from fields ranging from computer science and mathematics to ethics and international relations. As we forge ahead into an era of ever-increasing computational capabilities, the challenges presented by Moore’s Law underscore the imperative for a resilient and adaptive approach to securing the digital landscape. — Blockchain Magazine, 4d ago

AI can write conventional review articles but not research articles based on new experimental or theoretical data. As physicist A. Ghosh (2023) commented, ‘some key challenges’ have to be ‘overcome for AI to be more widely adopted in science, such as causal inference and the treatment of uncertainties.’ We can assume that this assessment also holds true for AI applications in industry, the military, and other sectors of society. — Open Access Government, 4d ago

As environmental and social considerations increasingly shape investment choices, ESG disclosures have emerged as a fundamental form of public reporting by banks. These disclosures illuminate a multitude of ESG issues, encompassing greenhouse gas emissions, water use, human rights, diversity, ethics, sustainable finance and governance practices. Regulators worldwide are increasingly recognising the profound significance of ESG factors in assessing risks and opportunities for financial institutions. — gulfnews.com, 3d ago

..."This gives a powerful new tool to authorities," said Anna Lewis, a Harvard researcher who studies the ethical, legal and social implications of genetics research. "There's internationally plenty of reason, I think, to be concerned."... — Sott.net, 3d ago

Lee, Katherine and Cooper, A. Feder and Grimmelmann, James and Grimmelmann, James and Daphne Ippolito, Daphne Ippolito, AI and Law: The Next Generation (July 6, 2023). Available at SSRN: https://ssrn.com/abstract=4580739 or http://dx.doi.org/10.2139/ssrn.4580739 – “We are in a moment of seemingly nonstop excitement (and seemingly nonstop lawsuits) about the future of AI-assisted content creation, and the questions such creation raises about data ownership, privacy, the future of work, and how technology shapes individual and collective rights. When considering questions about rights, it is important to think not only about novel technical developments, but also novel issues such development presents for the law — in particular, copyright law. Systems like ChatGPT and Stable Diffusion exhibit impressive capabilities; however, they have also been shown to regurgitate training data examples in their outputs, bringing about concerns regarding infringement of intellectual property rights. Developing expertise in either area requires being attentive to the other: Doing work in generative AI without at least a passing familiarity in copyright is increasingly intractable — and vice versa. While comprehensive expertise in both areas is an elusive goal, it is still important to be familiar with concepts in generative AI and copyright. Familiarity with key ideas across both disciplines is essential for asking more precise questions at their intersection — questions that can meaningfully shape the futures of technical research, and law and policy. In this explainer series, we provide salient discussion of training data, copyright, the processes of training models and generation, and future research directions. After reading this series, ML researchers and practitioners should have a better understanding of how copyright concerns may impact their technical work, and legal experts should better understand how specific technical aspects of generative AI are important to consider when analyzing concrete implications for copyright.”... — bespacific.com, 5d ago

...“Experimental and risk taking behaviours are an inherent part of adolescence,” they write. “However, as safeguards for a digital world are still evolving, precaution across academic, governmental, health and educational sectors may be warranted before the risks of adolescents’ use of social media is fully understood.”... — SCIENMAG: Latest Science and Health News, 4d ago

Top

Montreal AI Ethics Institute, 10w ago

The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance | Montreal AI Ethics Institute

Telecom Review Africa, 7w ago

Beyond the Illusion: Unraveling the Technology Behind Deepfakes - Telecom Review Africa

Analytics India Magazine, 12w ago

Top 8 Courses & Certifications on AI Ethics

Plantae, 11w ago

Finding Ways to Enhance the Science Public Perception | Plantae

BlaQue Crypto News, 8w ago

What Are the Ethics in Synthetic Intelligence (AI)?

Elephant in the Lab, 11w ago

Populism, Science and Public Discourse: An Interview with Niels Mede

techuk.org, 10w ago

Navigating the ethical landscape of the metaverse: Challenges and solutions

E-International Relations, 5w ago

Review – Artificial Intelligence and International Relations Theories

Latest

The AI industry is at a crossroads. On one hand, AI has undeniable potential to revolutionize various sectors, from health care to entertainment. On the other hand, there are pressing concerns about the ethical and legal implications of how AI is trained and deployed. The heart of the matter lies in the use of copyrighted material for training these models. How much is too much? Where does fair use end and infringement begin? These are the questions that the industry and the legal system grapple with. As AI continues to evolve, so too must the legal frameworks governing its development and application. The Kadrey case may be just one of many such disputes to arise as AI becomes more integrated into our daily lives. The challenge for the legal system and AI developers is finding a balance that fosters innovation while respecting the rights of copyright holders. This balance is not just a legal imperative but an ethical one, ensuring that the benefits of AI are built on a foundation of respect for intellectual property and creativity. — Security Boulevard, 6d ago

Good: Plan conversations about AI. Help students understand how generative AI tools were created, how they work and why they must be used with caution. Include topics such as accuracy of information, stereotyping and biases in generative AI; appropriate use of generative AI; data privacy; and equitable access to generative AI. Kathryn Conrad’s Blueprint for an AI Bill of Rights for Education and the AI Pedagogy Project are good starting points. The Center for Teaching Excellence at the University of Kansas also offers materials on helping students understand biases in AI and the ethical use of AI in writing assignments. The emerging field of explainable AI can also provide areas for discussion. — Inside Higher Ed | Higher Education News, Events and Jobs, 3d ago

The broader issue at hand is the evolving relationship between corporate vision, morality standards, and employee expectations. As societal values shift towards greater sustainability and social responsibility, corporations are being scrutinized not just for their financial performance but also for their impact on the environment and society at large. This scrutiny comes from various stakeholders, including consumers, investors, and current or prospective employees. — Allwork.Space, 3d ago

..."Experimental and risk taking behaviors are an inherent part of adolescence," they write. "However, as safeguards for a digital world are still evolving, precaution across academic, governmental, health and educational sectors may be warranted before the risks of adolescents' use of social media is fully understood."... — medicalxpress.com, 4d ago

However, these guidelines notably clarify more contentious AI issues, such as regulating image-generating models, deepfakes, and data collection methods. These topics, while crucial, have sparked debate and legal challenges within the AI community, particularly around copyright infringement concerns. Simultaneously, Canada’s Security Intelligence Service (CSIS) has raised alarms over using AI-generated deepfakes in disinformation campaigns, highlighting the risks of privacy violations, social manipulation, and bias inherent in AI technologies. This concern has prompted calls for more comprehensive policies and international collaboration to address the challenges posed by AI’s rapid advancement. Moreover, OpenAI and Microsoft are currently grappling with a lawsuit alleging unauthorized use of authors’ work in training AI models, a case that brings to the fore the complex legal and ethical dimensions of AI development. — CoinGenius, 4d ago

According to the paper, published in the journal Proceedings of the National Academy of Sciences as a “perspective” piece, scientists commonly censor scientific findings for “prosocial” reasons, such as the fear that those findings could have harmful impacts, especially on marginalized groups. — Inside Higher Ed | Higher Education News, Events and Jobs, 5d ago

Latest

With the increasing prevalence of digital devices and online interactions, people are generating more data than ever before. The technical ability to harvest it and the economic incentive to do so are growing. The privacy risks associated with its use have led to the emergence of data protection legislation, such as GDPR. Still, the economic potential of data is enormous, which leads to legislation allowing for sharing, such as the Data Act or the Data Governance Act. Currently, policy work is ongoing focused on the development of environments designed to facilitate data sharing in sector or domain specific areas, such as finance, health, and energy. Policymakers have labelled such environments European Data Spaces (EDS). — Tilburg University, 4d ago

But there remain roadblocks, not only in choosing the right technologies but in considering the ethics of AI. The technology’s influence over decision-making and process automation demands careful scrutiny. In the public sector especially, there must always be fairness, transparency and accountability. Striking the right balance between technological advancements and societal wellbeing will therefore require a collaborative effort that takes into account all stakeholders’ perspectives. — The Mandarin, 5d ago

We hope this workshop will appeal to scholars of trust and mistrust, anthropology, sociology, STS, media and communication, and law, with a special focus on Indigenous technologies, race and medicine, and the majority world. We also encourage the participation of practitioners, creative designers, technologists, and community members as they think about trust outside the confines of academic scholarship. — Data & Society, 4d ago

Tech Policy Press, 25d ago

Senate Homeland Security Committee Considers Philosophy of Artificial Intelligence

7wData, 5w ago

Unleashing Creativity: Exploring Generative AI in Design | 7wData

Analytics Insight, 4w ago

What is the Future of AI

Issues in Science and Technology, 26d ago

Science and the Public Process: Why the Gap Must Close

7wData, 5w ago

Exploring the Future of Finance: Unlocking Generative AIs Potential | 7wData

Top

Artificial Intelligence, Digital Technologies, Ethics and Society: This class might examine the implications of artificial intelligence and machine learning on creativity, employment, decision-making, privacy and the ethical considerations surrounding these new technologies. It might also address issues of surveillance, data collection and the balancing act between security and personal privacy. — Inside Higher Ed | Higher Education News, Events and Jobs, 10w ago

President Prof. Thomas F. Hofmann said: “To effectively leverage the potential of the age of machine learning and AI, we need to see modern data science as a team sport. With the MDSI, we are delivering fresh impetus to data-based technology developments and integrating them into real-world applications. Machine learning and AI harbor enormous potential. From life sciences and medicine, material and design sciences to quantum science, astrophysics and climate science – as well as the dynamics of societal, political and economic systems – the MDSI will support pioneering data science experts in reshaping the boundaries of what is now feasible.”... — tum.de, 11w ago

Dang anticipates engaging in discussions on the ethical considerations surrounding AI applications, especially in industries where decision-making is heavily influenced by machine learning algorithms. As businesses strive to leverage AI for competitive advantage, addressing ethical concerns becomes a strategic imperative. Similarly to Ventre, Dang sees the summit as a platform to explore the delicate balance between innovation and ethical responsibility, paving the way for the development of frameworks that promote both economic prosperity and societal well-being. — King's College London, 5w ago

The main themes addressed are the role of AI in everyday life, the enormous opportunities it presents for scientific and biomedical research, the current legislative situation, the risks of misinformation posed by its widespread use, the racial and gender biases it can generate, and the role AI plays in artistic and human creativity. — BSC-CNS, 6w ago

The retraction of the paper that used ChatGPT highlights the evolving landscape of academic research in the era of AI. While AI can be a valuable tool for researchers, it also poses ethical and transparency challenges. As AI continues to advance, the academic community must strike a balance between leveraging AI’s capabilities and upholding the principles of academic integrity. Vigilance, awareness, and clear guidelines for AI-assisted research are essential to navigate this complex terrain. — BitcoinEthereumNews.com, 12w ago

As AI technologies are rapidly developed and integrated in various aspects of life and work, it becomes increasingly important to know how to use AI based tools, but also have a basic understanding for how the technology works. Strategy and policy documents at both national and international level highlight the need for AI literacy, as a means to empower individuals to make informed decisions, understand and mitigate ethical issues and biases, and adapt to evolving job markets. This literacy is essential not only for personal empowerment but also for shaping public policy, fostering innovation, and ensuring the responsible development and use of AI technologies. In this talk, Linda Mannila, will discuss AI literacy based on two questions: what can it entail and for whom?Image: Micke Pöyhönen... — umu.se, 17d ago

Latest

MarkTechPost, 3d ago

Balancing Innovation and Sustainability: A Pragmatic Approach to Environmental Responsibility in Deep Learning for Pathology

DATAQUEST, 7d ago

The Cyber Shields of Tomorrow

Analytics Insight, 11d ago

Master the AI Workplace: 10 Vital Skills for Success

https://www.apa.org, 4d ago

Using psychological science to understand and fight health misinformation

Issues in Science and Technology, 4w ago

Science Policy in the Spotlight

Daily Nous - news for & about the philosophy profession, 4w ago

The Demand for “AI & Philosophy” Hires & Expertise — and Its Precedents - Daily Nous

BitcoinEthereumNews.com, 4w ago

What is the Black Box Dilemma of Using AI for Reputation Management – Exclusive Report

7wData, 5w ago

A New Era Dawns: Embracing the Potential of Generative AI Applications | 7wData

Latest

As technology advances, the cultural implications of AI-generated music and its integration into mainstream consumption remain subjects of intrigue and debate. Anna Indiana’s entry into the music scene marks a significant milestone, sparking reflections on the evolving relationship between artificial intelligence and creative expression. — Wonderful Engineering, 4d ago

One cannot stress how important it is to approach the deepfake dilemma from an ethical standpoint. As the forefront of technical innovation, the tech sector needs to set clear moral standards and best practises for the creation and application of artificial intelligence (AI) technologies, such as deepfake algorithms. — MarTech Series, 5d ago

Are these conversations to truly discuss the risks and safety regarding AI or is there a larger agenda at play? It is no secret that both the U.S. and China are leveraging AI but to what extent may remain a mystery. Whether or not both nations come to a consensus on the application of AI, both must consider the consequences (good or bad) surrounding the use of AI. AI has proved to ease the burden of repetitive data processing tasks. However, the illuminated potential of AI extends beyond conventional applications, gaining notable attention in fields such as space, intelligence, and cyber. It is imperative to approach these technologies cautiously, as the unchecked deployment of AI may evolve into a influential and clandestine instrument, capable of exerting prompt and destructive effects on a global scale. The repercussions of such employment may remain undetectable until their manifestation reaches an irreversible magnitude, highlighting the critical necessity for strategic caution and preemptive measures in the utilization of AI across diverse sectors. — Modern Diplomacy, 4d ago

The potential of virtual worlds in sectors like education, employment, and the economy is acknowledged, alongside a call for investment in infrastructure and innovation. However, MEPs also highlight concerns such as health risks, data privacy issues, intellectual property rights, cyber threats, and environmental impacts. The report proposes measures for safe design, digital literacy, and further risk-related research. — blockchainreporter, 6d ago

Some of the additions are fast becoming — if they are not already — necessary terms in the context of risks posed by AI, especially generative AI, which can potentially exacerbate risks such as those raised by "deepfakes," "disinformation," "misinformation" and "adversarial machine learning." These terms collectively represent the harms of AI. Except for adversarial machine learning, the other three harms are not new, but are certainly catalyzed by AI. They carry the potential to threaten democracy, civil rights and human dignity. As AI harm is one of the most important themes under AI governance, adding terms that define said harms was necessary. The addition of "transformer model" and "semi-supervised learning" complements the definition and understanding of generative AI. This is because the architecture of transformer models has led to the rapid and widespread success of generative AI, such as in large language models. Semi-supervised learning is crucial to understanding how generative AI models learn from data. "Compute" deserves a spot on the list as it is quickly becoming a top challenge for AI law and policy for two key reasons. First, unequal access to processing resources can concentrate power and wealth among a select few in the technology industry. Second, the governance of and access to compute can speed up or slow down AI progress. The term "parameters" was added to the glossary to recognize the governance work focused on the processing stage. — iapp.org, 5d ago

In terms of ethics, there is a tendency to view it as a side issue, rather than a central concern. The ethical considerations around data collection, storage, and usage, as well as the implications of AI decisions, are incredibly significant and cannot be downplayed or ignored. — coriniumintelligence.com, 6d ago

Top

As we delve into the realm of generative AI research, it's important to acknowledge and address the key challenges that researchers and developers face in this field. Two significant challenges are data limitations and bias and the ethical considerations and fairness associated with generative AI systems. — 7wData, 5w ago

However, it is essential to address ethical considerations and potential risks associated with AI, such as data privacy, bias, job displacement, and the responsible use of autonomous systems. Ongoing research and the establishment of ethical frameworks and regulations are crucial to harness the potential of AI while mitigating its potential downsides. — Blockchain Magazine, 6w ago

To better understand the complexity of scientific misinformation and its implications, researchers are studying how conspiracy theorists and science journalists alike transform and communicate scientific evidence in the age of social media. For Tech Policy Press, Adi Cohen looked at how scientific publishing is weaponized by COVID-19 vaccine and masking skeptics to spread disinformation. Now, a notable new study published in Science, led by Andrew Beers and colleagues at the University of Washington, explores the implications of “selective reporting” on social media, specifically concerning discourse around the efficacy of masks during the COVID-19 pandemic. — Tech Policy Press, 7w ago

Inside Higher Ed | Higher Education News, Events and Jobs, 8w ago

When academic disagreements become moral disputes

ORF, 7w ago

Ethical and Regulatory Considerations in the Collection and Use of Biometric Data | ORF

Coinspeaker, 7w ago

AI Ethics: Meaning, Importance, Key Principles

TechTricksWorld, 12w ago

The Role of AI in Content Writing and Research: A Two-Faced Coin

Inside Higher Ed | Higher Education News, Events and Jobs, 10w ago

Reimagining gen ed

Latest

The SAGE Handbook of Human-Machine Communication has been designed to serve as the touchstone text for researchers and scholars engaging in new research in this fast-developing field. Chapters provide a comprehensive grounding of the history, methods, debates and theories that contribute to the study of human-machine communication. Further to this, the Handbook provides a point of departure for theorizing interactions between people and technologies that are functioning in the role of communicators, and for considering the theoretical and methodological implications of machines performing traditionally ‘human’ roles. This makes the Handbook the first of its kind, and a valuable resource for students and scholars across areas such as communication, media and information studies, and computer science, as well as for practitioners, engineers and researchers interested in the foundational elements of this emerging field. Among the chapters you will find in this book are: Machines are Us: An Excursion in the History of HMC; Computer-Supported Cooperative Work (CSCW) and Human–Machine Communication (HMC); Philosophical Contexts and Consequences of Human–Machine Communication; An ethnography for studying HMC: What can we learn from observing how humans communicate with machines?; Feminist, Postcolonial, and Crip Approaches to Human-Machine Communication Methodology; AI, Human–Machine Communication and Deception; Human-Machine Communication in Marketing and Advertising; and Conceptualizing Empathic Child–Robot Communication. — New Books Network, 6d ago

...“(…) As scholars of color have long faced disproportionate professional punishments for conducting scholarship that is community engaged, the issue editors are also committed to showcasing diversity among scholars.”A second major theme of the discussions was the role of CER in improving the rigor of political science research. As political scientists have turned their attention to documenting, explaining, and addressing democratic erosion in the United States and the rise of authoritarianism worldwide, CER is one mode through which scholars can, in the words of Dr. Valeria Sinclair-Chapman, learn from “people living with the raw contradictions of democracy.”... — politicalsciencenow.com, 5d ago

..."Potential research topics could range from Indigenous communities' contemporary use of psychedelics to ethical considerations surrounding patenting to the interplay of psychedelics with philosophical questions around the nature of reality, consciousness, religion and the human experience," a press release stated. — KTVU FOX 2, 5d ago

Considering the environmental sustainability of digital health requires more than quantitative accounting of greenhouse gas emissions: it requires navigation of complex environmental lifecycle assessments, balancing among different priorities (improved health benefits, patient safety etc), working with uncertainties and ambiguities, accounting for considerations of environmental justice, and exploring pathways for the co-alignment of digital health and the environment. Environmental concerns also need to be balanced alongside other sustainability dimensions, such as social justice and economic factors. — King's College London, 7d ago

Does the success of FMT in combating C. difficile infection mean researchers can manipulate the microbiome to preventatively remove (decolonize) resistant microbes, making antimicrobials more effective in clinical settings? What microbes are the most important for preventing and combating resistant infections? Answering these, and other similar questions, is the goal of many research teams worldwide; however, these teams do not answer such questions in isolation. Policymakers play a critical role in determining the direction of research by setting broad scientific goals, allocating and administering funding and creating infrastructure for research and implementation. While researchers' primary focus should be the pursuit of science, there is a need for engagement in the policymaking process. Moreover, there is an explicit role for researchers in addressing the broader policy questions surrounding microbiome-based therapies, such as scalability, equitable access, regulation and the ethics of such therapies. — ASM.org, 6d ago

The risks of generative AI – such as copyright infringement issues, privacy issues, hallucinations – are commonly known and cannot be overstated. But the technology and research (and the ingenuity of humans to solve problems) moves quickly. This article looks at what’s happening now to address the intellectual property risks and uncertainties posed by generative AI – such as the introduction of watermarking, and indemnities offered by generative AI companies to their users for any claims of copyright infringement – and more importantly, are these measures enough?... — The Singapore Law Gazette, 10d ago

Latest

Telecom Review, 6w ago

Deepfake Technology: Unveiling the Illusion, Impact and Ethical Implic

TechRadar, 10d ago

Generative AI: Questions for competition and consumer protection authorities

7wData, 5w ago

Breaking Boundaries: The Promise of Generative AI in Healthcare | 7wData

7wData, 5w ago

Revolutionizing Agriculture: Exploring the Power of Generative AI | 7wData

Toptal Engineering Blog, 4w ago

5 Pillars of Responsible Generative AI Engineering | Toptal®

CMSWire.com, 5w ago

AGI Utopia or Dystopia: What's the Real Story?

Techiexpert.com, 3d ago

Why is AI Dangerous and What are the Dangers of AI?

DATAVERSITY, 12d ago

Redefining Leadership: AI-Driven Innovation - DATAVERSITY

Top

The current landscape of AI in medicine. Integrating artificial intelligence (AI) into health care is a complex yet transformative journey. As AI becomes increasingly indispensable, the medical community faces a paradigm shift—from being accountable for using AI to potentially being liable for not using it. In this article, we will explore the multifaceted implications of AI in medicine, from technical aspects to ethical concerns. — KevinMD.com, 4w ago

But as with any technological evolution, spatial computing presents its set of challenges. The ethical implications, potential over-reliance, and security concerns must be addressed with foresight and care. While we marvel at the opportunities it presents, navigating its complexities with discernment is equally crucial. — ReadWrite, 9w ago

This stark disparity underscores a critical need for public education and awareness regarding the ethical dimensions, data privacy concerns, and potential biases associated with AI. As AI integration into healthcare advances, it becomes increasingly important to strike a balance between harnessing its potential for innovation and addressing the ethical and safety concerns it raises. — Dataconomy, 10w ago

Questions about the role that ethics plays with respect to technological advances have grown more urgent as tech continues to reshape our interactions with one another and our understanding about ourselves. From data privacy/misuse of personal information, to cybersecurity, inclusive design, data transparency, and the implications of artificial intelligence — and so much in between — stakeholders across industry, government, higher education, and advocacy spaces have important roles to play in these complex conversations. Join a distinguished panel of Barnard alums working at the intersection of tech and ethics, moderated by Saima Akhtar, Associate Director of the Vagelos Computational Science Center. We'll talk about ethics, technology, career paths, and your questions!... — barnard.edu, 11w ago

Despite the ethically charged nature of this area of research, a key is to consider its potential impact on society, particularly in terms of understanding human neural development and diseases. This study highlights the importance of collaboration among scientists, philosophers, ethicists, and various stakeholders to comprehensively address the associated issues, and aims to serve as a cornerstone for societal and ethical discussions involving the transplantation of human brain organoids into animals. — Lab Manager, 28d ago

In “Chinese Academics Are Becoming a Force for Good Governance” (Issues, Summer 2023), Joy Y. Zhang, Sonia Ben Ouagrham-Gormley, and Kathleen M. Vogel provide a thoughtful exploration of how bioethicists, scientists, legal scholars, and others are making important contributions to ethical debates and policy discussions in China. They are addressing such topics as what constitutes research misconduct and how it should be addressed by scientific institutions and oversight bodies, how heritable human genome editing should be regulated, and what societal responses to unethical practices are warranted when they are not proscribed by existing laws. Their essay also addresses several issues with implications that extend beyond China to global conversations about ethical, legal, and social dimensions of emerging technologies in the life sciences and other domains. — Issues in Science and Technology, 4w ago

Latest

As AI systems exert influence in diverse sectors, professionals must champion ethical AI practices. Upholding integrity in AI development and usage involves addressing biases, ensuring transparency, and considering the societal impact of AI applications. Ethical considerations become a compass to guiding professionals through the ethical complexities of AI. — Analytics Insight, 11d ago

This past September, NASA’s Office of Technology, Policy, and Strategy (OTPS) released a summary report of a workshop held in April on the ethical, social and legal implications (ESLI) of the Artemis and Moon-to-Mars missions. Recognizing that “NASA has not…systematically addressed the societal and ethical implications of human exploration,” the OTPS convened 55 experts from a range of academic disciplines and non-governmental organizations, as well as NASA technical staff and management, to address two key questions: How should NASA consider the ethical, legal and societal implications of the Artemis and Moon-to-Mars efforts? And what are the key ethical and societal implications that require consideration?... — Centre for International Governance Innovation, 10d ago

Artificial intelligence (AI) has emerged as a double-edged sword, offering groundbreaking opportunities for innovation while posing significant challenges to the authenticity of news. The recent phenomenon of AI-generated images infiltrating the news cycle, including deepfakes and algorithmically produced photographs, has sparked a global conversation about the reliability of digital media and its impact on public perception and policy. — BitcoinEthereumNews.com, 7d ago

phys.org, 2d ago

new Can artificial intelligence improve life science? As much as life science can improve AI, researchers say

Times Higher Education (THE), 11d ago

After a year of ChatGPT, is academia getting to grips with generative AI?

Plantae, 3d ago

Plantae Presents: Importance of Self-care | Plantae

Stimson Center, 14d ago

Artificial Intelligence and Synthetic Biology Are Not Harbingers of Doom • Stimson Center

EMBL, 5w ago

AI at EMBL: enabling responsible innovations in the life sciences | EMBL

Latest

Social responsibility: Quantum AI may have profound impacts on society, economy, and environment, both positive and negative. For instance, quantum AI could help solve global challenges such as climate change, health care, and education, but it could also create new inequalities, displacements, and conflicts. To ensure that quantum AI is used for good, stakeholders need to engage in ethical deliberation, regulation, and governance24. — techuk.org, 7d ago

While AI and ML offer substantial benefits in the realm of cybersecurity, they are not without their challenges. The integration of AI and ML into security operations presents various ethical, privacy, and technical considerations that organizations must address. — DATAQUEST, 7d ago

The rise of AI girlfriends represents a fascinating intersection of technology and human emotions. While providing companionship and emotional support, these virtual entities also raise ethical questions about the nature of human relationships and the impact of technology on societal norms. As we navigate this evolving landscape, it is essential to approach the development and use of AI girlfriends with a thoughtful and ethical mindset, considering both the opportunities and challenges they bring to the forefront of our digital future. — Analytics Insight, 10d ago

The concept of Q Day underscores the urgent need for the development of quantum-resistant encryption methods and a thoughtful approach to the integration of AI and quantum technology, particularly in military applications. It's a reminder of the dual-use nature of technology: while offering vast potential for positive impact, it also requires careful consideration of the risks and ethical implications associated with its use. — Khaleej Times, 7d ago

This article explores the multifaceted landscape where technology and privacy converge within the Canadian legal system, examining the challenges, ethical considerations, and the ongoing quest for a delicate balance between security and personal freedoms. — Bit Rebels, 7d ago

Despite increasing awareness of the nexus between climate change and human security, especially in fragile contexts, this complex relationship has yet to be reflected in the policy arena. To investigate this potential policy gap, we apply an online issue mapping approach to assess representations of climate security within the public discourse of policymakers on social media, using Kenya as a case study. Considering Twitter as a proxy for public debate, text mining and network analysis techniques were employed to a corpus of almost 50 thousand tweets from selected national-level state actors, aiming to identify the evolution of thematic trends and actor dynamics. Results show a disassociation between climate, socioeconomic insecurities, and conflict in the public communications of national policymakers. These findings can have useful implications for the policy cycle, indicating where policy attention around climate security-related topics has been and what are the entry points for enhancing sensitivity on the issue. — CGIAR, 10d ago

Top

Université de Technologie Européenne, 11w ago

Université de Technologie Européenne

Falling Walls, 11w ago

Ethical technology and AI: Louise Amoore's algorithmic ethics perspective | Falling Walls

Daily Nous - news for & about the philosophy profession, 7w ago

What Can Philosophers Contribute to Space Exploration? - Daily Nous

University of Eastern Finland, 9w ago

Doctoral defence of Anu Laakkonen, MSc, 29.9.2023: On the reconfiguring value creation logic and networks of the forest sector in a changing business environment

BitcoinEthereumNews.com, 8w ago

How Can We Help Shape Tomorrow’s Digital World With AI Ethics and Bias Regulations? – Exclusive Report

BitcoinEthereumNews.com, 8w ago

Innovation Minister’s Silence Fuels AI Risk Debate Amidst Tech’s Threat to Humanity

aihub.org, 6w ago

Interview with Aylin Caliskan: AI, bias, and ethics - ΑΙhub

ReadWrite, 6w ago

Unlocking AI consciousness: ethical dilemmas ahead

Latest

...“The potential for AI to transform business is undeniable, yet its deployment demands a conscientious understanding of ethical implications. When SMEs introduce AI in their operations, several ethical challenges and considerations arise. — Dynamic Business, 12d ago

The initial response from ChatGPT was surprisingly optimistic, sparking a deeper investigation into the implications of AI for both social and ecological sustainability. Yet, as the researchers delved into the expansive landscape of AI’s impact, skepticism emerged, questioning the reliability of AI solutions in addressing complex global challenges. — BitcoinEthereumNews.com, 9d ago

..."As countries debate their energy sources- and as coal maintains a powerful, almost mythical status in American energy lore- our findings are highly valuable to policymakers and regulators as they weigh the need for cheap energy with the significant environmental and health costs," said Francesca Dominici, a professor of bio-statistics, population and data science, and co-author of the study. — interestingengineering.com, 10d ago

Technology helps to solve problems, but it may also lead to unintended consequences. For example, biofuels may help to overcome the disadvantages of fossil fuels, but their production might compete with food production leading to higher food prices and hunger. Therefore, in recent decades, the societal impact of technology has come to the center of attention. To deal with potential ethical issues related to technology, many scholars have emphasized the importance of addressing values early on, during the design phase of new technology. Values are understood as beliefs about what is good or desirable, like human autonomy, safety, sustainability, or privacy. Researchers in ethics and philosophy of technology have developed a variety of approaches, like value-sensitive design (VSD) and responsible research and innovation, to help engineers embed values in technological design (e.g., [32]). — IEEE Technology and Society, 14d ago

Generative AI: 3 critical questions for competition and consumer protection authorities It is barely a year since the launch of ChatGPT by OpenAI brought generative AI and foundation models to the forefront of public consciousness. The development and use of GenAI have seemed exponential, and governments are racing to regulate the potential risks it poses without limiting its transformative potential or discouraging AI-related investments in their jurisdictions. — TechRadar, 10d ago

We are an environmental humanities researcher and an AI scholar interested in the interrelation between rapid technological and ecological changes. We united forces to investigate the implications of AI systems for social and ecological sustainability. — resilience, 9d ago

Latest

..."As countries debate their energy sources -- and as coal maintains a powerful, almost mythical status in American energy lore -- our findings are highly valuable to policymakers and regulators as they weigh the need for cheap energy with the significant environmental and health costs," said co-author Francesca Dominici, Clarence James Gamble Professor of Biostatistics, Population, and Data Science at Harvard Chan School and director of the Harvard Data Science Initiative. — ScienceDaily, 8d ago

At the outset of the pandemic MEAG, the Moral and Ethical Advisory Group of approximately 20 experts selected as leaders in their fields of medicine, ethics, law, social science and religion, was tasked with advising ministers and senior officials on the challenging ethical aspects to decisions that would need to be taken. The DHSC was to convene weekly meetings of that group. — Sott.net, 9d ago

Naturally, AI was one of the core topics of discussion at Web Summit. Speakers debated about the future impact of AI and considered solutions for the different challenges it is generating for the world. For example, Andrew McAfee, a principal research scientist at MIT, brought into focus the pressing issue of AI regulation. His talk, “How do we regulate AI?”, underscored the urgency of establishing rules in a field that is outpacing legislative frameworks. The risks associated with AI, such as misinformation, bias, and job displacement, necessitate a nuanced approach to regulation that balances innovation with ethical considerations... — Helsinki Times, 15d ago

Security Boulevard, 6d ago

AI Gets a Legal Gift for Thanksgiving

IT Brief UK, 19d ago

UK academia divided over role & ethics of AI technologies

7wData, 5w ago

From Concept to Reality: The Promise of Generative AI in Robotics | 7wData

coriniumintelligence.com, 6d ago

Glenda Crisp: Why Empathy is an Essential Characteristic of a Successful Data Leader

WriteUpCafe.com, 4w ago

The Advancements in AI-Generated Women: Implications and Applications - WriteUpCafe.com

Top

As we embrace the potential of generative AI in education, it's essential to address the ethical considerations that arise with its implementation. These considerations include privacy and data security, bias and fairness, and ensuring responsible use of generative AI. — 7wData, 5w ago

Speaking on the primary aim of the conference, Cordel Green said: “It will be to make the risks and opportunities of AI more understandable and relatable to the widest cross section of people. The presenters will look at such topics as AI and Participatory Democracy; AI and War; AI and the Environment; Convergence of AI and Neuro-technology; AI and Law; Implications of Large Language Models; Gendered perspectives on AI; Culture, Indigenous Societies, and Data Sovereignty; Data Scraping and Exploitation; Digital Rights of Children; Use of AI to Overcome Disabilities and Deliver Access; AI and Longtermism; AI and Health; Intersection of AI, Art, and Human Creativity; and Governance of AI, including tensions around the concepts of Freedom of Expression and Information Accessibility.”... — jamaica-gleaner.com, 9w ago

This Oxford University course on AI ethics covers fundamental concepts and broader philosophical considerations regarding AI’s ethical implications in our daily lives. The program starts by defining AI and distinguishing it from other machine learning methods, while also addressing the urgency of AI ethics. It then explores the ethics of AI creation, questioning its moral permissibility and the conditions for an AI to have moral significance. Next, the course delves into the philosophical aspects of designing ethical AI, including rule-based, bottom-up, and top-down approaches. It also examines the potential threats posed by AI to humanity and the feasibility of aligning our goals with AI’s objectives. Finally, the program scrutinizes the ethics surrounding specific AI applications, such as fully automated war drones, autonomous vehicles, robots, and AI-driven healthcare diagnostics. — Analytics India Magazine, 12w ago

Students diving into this major will refine their machine learning, data visualization, and statistical modeling skills. They’ll also grapple with the ethical considerations of data privacy and the potential biases inherent in algorithmic decision-making. — mid-east.info, 7w ago

The discourse at the forum emphasized the inherent interconnectedness of ethics, ecology, and technology. This understanding underscores the need for both educators and students to recognize the synergy between ethical considerations and ecological consciousness in their pursuit of technological advancement. — Université de Technologie Européenne, 11w ago

While there are hurdles to overcome, including the nuances of natural language and ethical considerations, the potential benefits are too significant to ignore. As data science and AI continue to evolve, their applications in space exploration are limited only by our imagination. — datacamp.com, 11w ago

Latest

Inside Higher Ed | Higher Education News, Events and Jobs, 6w ago

Should colleges engage in ethics education?

7wData, 5w ago

Fashion Forward: Exploring the Potential of Generative AI | 7wData

SCIENMAG: Latest Science and Health News, 3d ago

Can artificial intelligence improve life science? As much as life science

Truth11.com, 4w ago

COVID Vaccines Have Caused a Dangerously Deadly Alliance Between mRNA, Graphene & Nanotechnology

Analytics Insight, 10d ago

From Code to Companionship: The Rise of AI Girlfriends

CXOToday.com - Technology News, Business Technology News, Information Technology News, Tech News India, 4w ago

The Virtuous Challenges Presented by AI-Powered Educational Technologies - CXOToday.com

Zephyrnet, 9w ago

Customized Marketing Copywriting Using LLMS For E-commerce - Plato Data Intelligence

BitcoinEthereumNews.com, 21d ago

China’s Intricate Influence on Shaping Global AI Governance is the New Normal

Latest

...– Ethical considerations also arise regarding the use of synthetic biology in the healthcare sector, such as genetic engineering for human enhancement. Questions about the ethics of altering the fundamental nature of living organisms and the implications for society need to be carefully addressed. — Medgadget, 14d ago

Call for Papers: Berlin Workshop ‘Comparative International Legal Policy: National Political Approaches towards International Legal Order’: 5-6 June 2024. Legal advisers and policymakers increasingly face questions that are not merely interpretive in nature, but require perspectives on the basic power and social relations to be enshrined in international law. The Max Planck Institute for Comparative Public Law and International Law, Heidelberg, together with Humboldt University of Berlin, jointly convene this interdisciplinary workshop to explore the dimensions of states’ international legal policies towards the construction of international legal order. Scholars in comparative international law, the politics of international law and global order, on the role of international legal advisers, International Relations and its subfield of foreign policy analysis—plus further relevant fields—are invited to submit papers for this workshop on change and continuity in states’ policy approaches and perceived ‘roles’ towards the system of international law. Read more here. — Opinio Juris, 10d ago

The proliferation of high-quality smartphone cameras has significantly democratized environmental photography. These accessible devices empower a broader swath of society to document environmental issues, transforming ordinary citizens into potential photojournalists and advocates. Smartphone cameras enable real-time, widespread documentation of environmental phenomena, from local pollution incidents to the effects of extreme weather events. This democratization, however, also introduces new challenges. The sheer volume of images can lead to desensitization, and the variable quality of these photographs may impact the perceived credibility of the issues they depict. Nonetheless, the ubiquity of smartphone cameras has undeniably broadened the scope and immediacy of environmental activism, making it possible for more voices and perspectives to contribute to the global environmental narrative. This aspect of environmental photography, ripe with both opportunities and challenges, represents a significant shift in how environmental issues are documented and shared in the digital age. — Fstoppers, 11d ago

...“As AI is not only a potential tool for journalism but also – or even more so – a subject with huge societal impact, UNESCO and WJEC (World Journalism Education Council) have launched a Handbook for Journalism educators around the globe on Reporting on Artificial Intelligence. — WAN-IFRA, 10d ago

I’m raising these issues to provide a reminder that the paramount question about UAP, both for government policymakers and the public, will undoubtedly be whether UAP poses an existential threat. I’m thrilled to be supporting investigations of UAP signatures, propulsion systems, metamaterials, and UAP effects on humans, but national security, rather than science, will be at the forefront in the minds of government officials assessing the potential costs and benefits of disclosure. In sum, we can’t dodge the national security issue when making the case for disclosure; we must address it head-on. — The Debrief, 12d ago

In conclusion, the pervasive surveillance in our digitized world presents a multifaceted challenge to our privacy and personal freedoms. From covert location tracking to the use of advanced cameras with facial recognition capabilities, the rapid evolution of surveillance technologies forces us to grapple with profound ethical questions. Furthermore, the integration of AI into education, while offering potential benefits, raises concerns about the well-being of our future generations. As we move forward, it is crucial to strike a delicate balance between the benefits of technology and the preservation of our individual rights and dignity in this era of constant scrutiny. — interestingengineering.com, 11d ago

Top

Moreover, the deterministic view risks downplaying human agency and the multifaceted interplay between technology and society. It suggests a passive acceptance of technological progress, ignoring the potential for ethical deliberation, cultural influences, and deliberate choices in shaping technological trajectories. The rise of data privacy concerns and the ethical implications of AI and biotechnology underscore the need for a more nuanced understanding that recognizes the role of human values, governance, and societal norms in steering technological development. — Psychology Today, 21d ago

As we move closer to developing human-like AI using quantum computing, it is crucial to consider the ethical implications of this groundbreaking technology. Creating machines with human-like intelligence raises a myriad of ethical questions and potential consequences for society, the workforce, and individual privacy. — RTInsights, 4w ago

Psychologists are discovering the benefits of emerging artificial intelligence (AI) applications for mental health—and the ethical considerations that they present. — medicalxpress.com, 8w ago

Waterloo News, 11w ago

Trust in research, science and technology starts with conversations | Waterloo News

Montreal AI Ethics Institute, 11w ago

Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research | Montreal AI Ethics Institute

Monash Lens, 10w ago

‘What Happens Next?’ podcast: Are Humans About to Evolve?

AIMed, 11w ago

Establishing the guidelines and guardrails for health AI technologies - AIMed

DATAQUEST, 6w ago

Navigating the future: The confluence of supply chains and AI