new Policies. Securing a social license for the use of any new, particularly disruptive technology is crucial to its success. This need will be especially acute with autonomous agents making and implementing decisions with minimal-to-no human oversight. Formal regulation may take time, but to generate and maintain widespread societal buy-in, companies should be hypervigilant in enforcing guardrails to ensure safe and appropriate use. Until regulation is in place, self-regulation, as demonstrated by numerous industries in the past, is also a responsible step that will help in the pursuit of a social license. Self-regulation on its own, however, is not a sustainable long-term solution. Organizations should be actively engaged with regulators to help craft the right approach for governing and monitoring the use of these emerging technologies. — Fortune, 8h ago

new ARK’s Open Research Ecosystem seeks to capitalize on rapid change through an open approach and the convergence of insights. ARK believes that a combination of top-down and bottom-up research allows us to size the investment opportunity of disruptive innovation, and then detect and evaluate companies best positioned to benefit. To gain a deeper understanding of quickly changing themes, ARK employs an open research strategy to gather information, both helping to define and refine its internal research process. Inputs include Theme Developers, who are thought leaders in their fields, social media interactions, and crowd-sourced insights as people respond to ARK’s public research. By applying technological concepts and external inputs to traditional approaches, ARK seeks to create a more transparent, creative, and interdisciplinary investment process. — Ark Invest, 8h ago

new ...“Simulation is one of the most promising future technological applications, and it’s already leaving its mark today. Thanks to rapid advances in GPU hardware and quantum information science, we’re finally able to harness AI for more specialized applications that will have a profound impact on our world,” said Eric Schmidt, Chairman of SandboxAQ. “SandboxAQ’s AI simulation capabilities, augmented with NVIDIA accelerated computing and quantum platforms, will help enable the creation of new materials and chemical compounds that will transform industries and address some of the world’s biggest challenges.”... — HPCwire, 18h ago

new For all of the bravado of AI, before we become too dazzled or dismayed (depending on which side of this issue you reside), at AI’s potential impact on projects, it is worthwhile to sit back with a skeptical bird’s eye view. After all, as we humans evolved throughout the information age of the mid to late twentieth century, AI can just be considered the latest development in a long series of technological advances driven by the engine of human information input. Even if every one of the improvements stated above are tangible, how well does it translate to the ultimate outcome? Organizations around the globe have been trying to digitalize and computerize, some as early as the 1960s and 1970s. Digitization and computerization promised a revolution in productivity through automation, streamlining, and making humans redundant. But the road to a more significant productivity boost has been arduous at best. One of the primary reasons is captured in the Theory of Constraints (TOC) developed by Eliyahu M. Goldratt, an Israeli physicist turned business management guru. In his landmark book The Goal, which sold over 6 million copies, he explains the importance of focusing on the right constraints to improve the overall system. For projects, the constraints are generally not within the technology and tools, but within humans. — Healthcare Business Today, 1d ago

new In today’s rapidly evolving technological landscape, the need to address a comprehensive approach to risk management is crucial at all levels of an organization. This imperative becomes even more pronounced in operational technology (OT) environments where different perspectives on risk prevail. While traditional risk management practices have primarily focused on physical and financial risks, the emergence of cybersecurity threats has necessitated a paradigm shift. Collaboration with engineering teams is not just desirable but necessary to incorporate cybersecurity risks into the risk register for OT environments. — Industrial Cyber, 1d ago

new Policymakers are increasingly considering risk-based assessments of AI systems, such as the EU AI Act. We believe that in this context, AI systems with the potential for deception should be classified at least as “high-risk.” This classification would naturally lead to a set of regulatory requirements, including risk assessment and mitigation, comprehensive documentation, and record-keeping of harmful incidents. Second, we suggest passing ‘bot-or-not’ laws similar to the one in California. These laws require AI-generated content to be accompanied by a clear notice informing users that the content was generated by an AI. This would give people context about the content they are viewing and mitigate the risk of AI deception. — Montreal AI Ethics Institute, 1d ago

new In today’s digital world, software applications have become integral to our daily lives, influencing everything from communication to healthcare. However, as these applications grow in influence, how much do we truly understand the values embedded within them and the violations of these values? This research seeks to understand developer’s perspectives on one such value: transparency. Transparency is an attribute of communication in software development that enables stakeholders to answer their questions about the software system during its software life cycle. Transparency also encompasses openness, clarity, and visibility of software applications’ inner workings, processes, and actions. Transparent software applications give users insight into how their data is collected, used, and protected. They enable users to understand the algorithms and decision-making processes behind automated systems. — Montreal AI Ethics Institute, 1d ago

new ...“In order to capitalize on the potential of AI, and perhaps particularly GenAI in the near term, organizations need to be clearer about how they organize and provide continual validation for their supply chain data. There are very interesting and emerging opportunities to point ML (machine learning) solutions at the foundational problems of data availability and quality, and I think leaders who foster technology enablement for data governance within their supply chain will be best situated to realize further productivity gains through more exact and precise decision making (improving decision quality).” – Caleb Thomson, senior director analyst, Gartner Supply Chain practice... — Connected World - IoT and Digital Transformation, 1d ago

new What also makes parking automakers in a safe zone is the confusion and hesitation seen in the industry. Kaspersky’s report showed that 29.5 per cent currently do not see value from their cyber intelligence investments and 35 per cent feel that confusing industry terms present the biggest barrier to the broader management team’s ability to develop a holistic understanding of cyber risk and what they should do about it. — DATAQUEST, 2d ago

new The cloud has become our new ground, causing the concept of the workplace to undergo a profound metamorphosis. The swift transition to remote work has revealed both the resilience and the pain points of our workforce. While the emancipation from a physical office had its appeal, the malaise of “Zoom fatigue” brought to light the shortcomings of video conferencing tools as stand-ins for our office spaces. It’s within this new paradigm that companies like SoWork and its CEO Vishal Punwani are attempting to break through and innovate, with a vision of a workspace unbound by physical constraints yet thriving on human connection. — Grit Daily News, 2d ago

new This virtual workshop arms marketers with insights, knowledge, and skills to not only build successful multicultural marketing campaigns but to tap into the power of data, technology, and leadership across functions to drive success. Led by an expert global marketing leader, this high-impact workshop draws on the artistic aesthetics of connecting to consumers through culture, as well as the scientific rigor of metrics and measuring impact, to refine and enhance their multicultural and inclusive marketing efforts. Through robust frameworks, anthropological narratives, case studies, stories from current marketing executives, visual thinking strategies, and technology immersion, participants will be armed with tools and resources to galvanize their marketing strategies and drive sustainable and profitable growth in a multicultural America. — ana.net, 2d ago

new Bondar: Many organisations are somewhere along the path of their digital transformation journey. Digital transformation touches the customer, the back office and everything in between. This means that digital trust is now part of the equation in the way an organisation interacts with its stakeholders. Taking a comprehensive and aggressive view of the vulnerabilities and potential points of trust loss in each of these ‘user stories’ becomes essential. To identify where bets should be made and where trust is most fragile and at greatest risk, ask what is most meaningful to your stakeholders and thus likely most important to protect. Data privacy and protection, a strong cyber security posture, a highly intuitive ability to digitally and seamlessly engage with stakeholders in a variety of ways, including in the metaverse in the near future, and providing transparency when things go awry and breaches occur, are some of the key things that stakeholders expect and where bets should be made. — Financier Worldwide, 2d ago

new California’s report also usefully lays out the potential risks associated with using these new tools, making clear that while there are some new potential harms, in many cases many of the risks are common to the use of any technology. Governments need to be conscious of the fact that tools that enable the easy generation of high-quality content could be misused to dupe consumers and residents.Perhaps because 35 of the 50 leading AI businesses are in California, as the state's report points out at the outset, it is silent on the risks to governments and those they serve of relying excessively on technologies developed and governed by unaccountable companies, especially when those technologies are procured by public servants without a deep knowledge of the tech. — GovTech, 2d ago

new The project has, so far, delivered promising results. “[Wadhwani AI] has helped smallholder farmers to reduce their use of expensive pesticides, safeguard their crops and improve their profit by over 20 per cent,” added Ralic. To further build on this positive impact, Wadhwani AI received an additional US$3.3 million grant from Google.org in 2022 as part of the AI for the Global Goals project, a US$25 million initiative specifically aimed at projects that use AI to accelerate progress on the United Nations Sustainable Development Goals (SDGs).“This grant allows them to partner with the Ministry of Agriculture and Farmers Welfare in India, so they can scale [their pest control solution] for billions of people in India,” Ralic said. — Eco-Business, 2d ago

new Analyzing data in motion, as opposed to traditional scanning of known databases, enables Flow’s GenAI DLP to discover shadow data and proactively identify anomalies in real-time, regardless of where the data is located. For data-centric organizations this capability is critical to prevent violations and breaches that could lead to fines and be damaging to their reputation. In testing, Flow’s GenAI DLP uncovered undetected data leakages despite seemingly robust infrastructure protection. In a test focusing on healthcare organizations where GenAI was used to classify patient data to gain insights into disease patterns and treatment effectiveness, Flow’s GenAI DLP quickly identified sensitive PHI data at risk that would have led to a HIPAA violation if it had continued to go unnoticed. In another test for telecom providers, GenAI was used to optimize customer services by analyzing chatbot interactions for potential risk, and once again, Flow’s GenAI DLP identified sensitive financial data leaks, thereby avoiding the potential repercussions. — CoinGenius, 2d ago