Latest stories
Governments are key to unleashing AI-enabled societal advancement
Governments4AI
While regulations are an important part of AI governance, the relationship between governments and new tech like AI extends much further than this, raising questions about the role governments should ideally play, argues tech entrepreneur and AI ethics expert Jibu Elias.
Jibu Elias  |  Dec 29 , 2023
AI governance calls for adaptability, flexibility, not one-size-fits-all
Governments4AI
In the rush to implement effective AI governance – whether global or local -flexibility and adaptability are crucial if regulations are to work as intended, argues Ivana Bartoletti, Global Chief Privacy Officer at Wipro and Visiting Policy Fellow at the Oxford Internet Institute.
Ivana Bartoletti  |  Dec 28 , 2023
AI demands new legal framework for global economic governance
Governments4AI
The rise of AI and the ever-accelerating digitalization of the global economy make the legal framework underpinning it all desperately in need of a revamp. International trade lawyer and economic expert Anthony Abad describes the changes this will necessitate.
Anthony A. Abad  |  Dec 27 , 2023
From bioethics to AI ethics, lessons are to be learned and futures to forge
Governments4AI
AI is not the only new tech to cause controversy and entail ethical issues. Dr Orhan Onder MD, a lecturer at the Department of History of Medicine and Ethics at Istanbul’s Marmara University, examines the hard-learned lessons from previous disruptive advances.
Orhan Onder  |  Dec 26 , 2023
Government regulation of AI is like pressing a big red danger button
Governments4AI
Most people outside the AI community are vaguely uneasy about AI, but they are not exactly clamoring for governments to regulate it. Best-selling AI author and keynote speaker Calum Chace examines why this is the case, revealing much about people’s risk tolerance in the process.
Calum Chace  |  Dec 25 , 2023
For better or for worse, governments play a crucial role in AI governance
Governments4AI
As 2023 reaches its conclusion, The Yuan has invited a number of its expert contributors from around the world to offer their opinions on what might lie ahead for the governance of AI, with the landscape and outlook varying greatly depending on the location and context.
Shifeng Wang  |  Dec 22 , 2023
Has GenAI disappointed or just landed at the peak of inflated expectations?
Cognition
GenAI is a classic example of reality failing to match the brouhaha and expectations. Best-selling author, futurist, and columnist Chuck Martin asks whether a complete overhaul of the tech is necessary, or if people simply need to recalibrate their expectations.
Chuck Martin  |  Dec 22 , 2023
MRIs backed by AI are crucial preventative screening tools for cancer
Domain knowledge
Early detection is critical to fight cancer. With their diagnostic virtues and lack of harmful radiation, MRIs bolstered by AI analytics are ideal for tackling this scourge. Dr Jennifer Dunphy, senior VP for a top US physician association, foresees this practice becoming routine.
Jennifer Dunphy  |  Dec 21 , 2023
Norway’s billion-kroner investment in AI should target innovation
Emerging markets
To get the most bang for one’s buck - or krone - means carefully choosing how AI funds are allocated. Innovation Prof Tor W. Andreassen of NHH Norwegian School of Economics and tech executive Yngvar Ugland discuss the pros and cons of prioritizing AI inventions vs. innovations.
Tor W. Andreassen, Yngvar Ugland  |  Dec 20 , 2023
The Empathy Code strives to humanize virtual interactions with AI
Cognition
One of AI’s most frequently cited shortcomings is its inability to empathize with people or convincingly replicate human emotions. Health psychology researcher Lorena Antonovici introduces the Empathy Code and discusses its ramifications for humans’ interactions with AI.
Lorena Antonovici  |  Dec 19 , 2023
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Janna Lipenkova
Janna Lipenkova
Janna Lipenkova is a computational linguist who speaks seven languages. She heads two companies, Anacode and Equintel, that use AI to deliver cutting-edge business intelligence and guide clients towards smarter decisions, strategy, and execution.
Philip M. Parker
Philip M. Parker
Philip M. Parker is Professor of Marketing at INSEAD and the INSEAD Chaired Professor of Management Science.His research explores why existing theories governing macroeconomic growth and firm level competition yield unreliable forecasts of actual market outcomes. He introduced the idea that physical sciences should be directly integrated into macroeconomic studies.
Ganes Kesari
Ganes Kesari
Ganes Kesari is an entrepreneur, AI thought leader, author, adjunct professor, and TEDx speaker. He is the founder of Innovation Titan, a data-science thought leadership and advisory firm. He advises executives on data-driven leadership and helps organizations adopt a culture of data for decision-making.
Johannes Walter
Johannes Walter
Johannes Walter is head of department and scientific director of digitalization and digital association development at Diakonie Baden as well as associate professor at IU International University of Applied Sciences. His research focuses on AI in healthcare and digital transformation in the social and healthcare sector.
Nikolaj van Omme
Nikolaj van Omme
Nikolaj van Omme is chief executive officer of Funartech, an AI startup that provides creative solutions to complex industrial problems by combining machine learning and applied mathematics. He is a strong proponent of hybrid methods and approaches, in particular the hybridization of machine learning and operations research.
Shanen Boettcher
Shanen Boettcher
Shanen Boettcher is a former General Manager of Microsoft’s Startup Business Group, which oversees the innovation of Microsoft’s core businesses. He also holds a PhD in human-machine communication and AI from the University of St Andrews, and has experience operationalizing strategy, developing global award-winning products, building tools and guidance for high-tech startups at Responsible Innovation Labs, and working as a product strategist for AI21 Labs, a leading artificial intelligence and large language model startup.
Austin Lentsch
Austin Lentsch
Austin Lentsch is a policy fellow at MIT’s Blueprint Labs.
Tonny Huang
Tonny Huang
Manager at Kearney.
Betty Pio
Betty Pio
Partner at Kearney.
Keena Patel-Moran
Keena Patel-Moran
Partner at Kearney.