Latest stories
Inflated sum of AI fears is far more pessimistic than is warranted
Cognition
GenAI in the form of publicly accessible new tools like ChatGPT has unloosed a flood of fears over job losses, deepfakes - even doomsday. Michael R. Strain, director of Economic Policy Studies at the American Enterprise Institute, offers a counterargument to soothe these jitters.
Michael R. Strain  |  Jan 15 , 2024
Global AI governance must accomplish certain things to be a success
Governments4AI
The age of AI is here, and governance and policymaking are starting to catch up. Such progress is welcome but also uneven and uncoordinated, and no universal standard that could truly be called ‘global’ governance has yet emerged. This must change as AI’s impact keeps growing.
The age of AI requires inequality insurance more than ever before
Governments4AI
Rising inequality has become more visible and more of a political flashpoint in recent years. AI may conceivably help reduce the gap between the haves and have-nots, but it might also make matters worse, which is why some form of inequality insurance is more important than ever.
Ian Ayres, Aaron Edlin, Robert J. Shiller  |  Jan 11 , 2024
Open letter: EU’s AI Act must not exclude regulation of foundation models
Governments4AI
The EU lately concluded an agreement on the AI Act, an overarching set of laws crafted to govern AI use within the trade bloc. The following is a letter Prof Gary Marcus and 70 other top global AI experts inked in advance that explains why the Act should encompass foundation models.
Gary Marcus  |  Jan 10 , 2024
‘Effective’ is just as important as being ‘right’ in medical AI governance
Governments4AI
AI regulation must be conducive to smarter decision-making, above all in healthcare. Laws cannot just be right, but they must also be effective, says Richard Dasselaar, digital transformation and strategy leader and Section Chairperson for the AI in Cardiology working group as a non-state actor, citing the EU’s newly minted AI Act and several stellar authorities.
Richard Dasselaar  |  Jan 09 , 2024
Flaws in Brazil’s AI bill are microcosm of world’s AI governance dilemma
Governments4AI
The road to safe AI development is a rocky one worldwide. Citing healthcare, radiologist and medical executive Dr Gustavo Meirelles and two other experts present Brazil as a case study that aptly illustrates the hard row governments will have to hoe in trying to bring AI to heel.
Gustavo Meirelles  |  Jan 08 , 2024
When governments tackle AI harm, present dangers must outweigh future ones
Governments4AI
For AI to be safe, governments must understand it and focus on dealing with present harms, not future doomsday scenarios that may or may not come to pass, writes Satyen K. Bordoloi, as he highlights the damage AI is causing now and lays out five ways governments can mitigate them.
Satyen K. Bordoloi  |  Jan 05 , 2024
Governments to form the dynamo driving AI-led transformation
Governments4AI
For an AI-led revolution to take off, governments must spur and democratize it, while performing a tough balancing act, not throttling innovation by over-regulation, or leaving users prone to risks by donning kid gloves. Enzolytics COO Dr Gaurav Chandra delineates this fine line.
Gaurav Chandra  |  Jan 04 , 2024
AI governance in the Global South might require additional guardrails
Governments4AI
AI regulation is harder in emerging markets like India, Brazil etc. whose unique local conditions and cultural requirements mean that - unlike wealthier counterparts - a locally acceptable regulatory edifice must be built from the ground up to shield the vulnerable, states Harvard Med Fellow Rohit Agrawal, MD, MPH.
Rohitashva Agrawal  |  Jan 03 , 2024
Contrary to popular belief, AI does actually work, is generally safe
Governments4AI
Some fears and misgivings over AI are justified, but many are blown out of all proportion, and thus an accurate understanding of its true risk is elusive in the minds of most. AI expert Prof Patrick Glauner of Germany’s Deggendorf Institute of Technology sets the record straight.
Patrick Glauner  |  Jan 02 , 2024
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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.