Amba Kak
Executive Director
AI Now Institute
About Me
Hear My Insights
All-You-Can-Eat: Can You Balance AI’s Appetite for Data & Privacy?
The data privacy diet is a fluctuating one, that varies across time, regions, and adapts to (tech) disruptions. Data has proven to be one of our most valuable assets today – one whose protection varies from a legislation to another. But as regulations grow stricter, a potential data wall might emerge, threatening smaller startups' competitiveness and raising questions about shifting focus to application layers rather than LLMs. From the user perspective, building ethical AI is crucial, as current models may pose significant dangers. Understanding the origins of training data is equally important—where this data comes from directly impacts individual privacy rights. Parallels with the social media industry and its challenges around privacy offer interesting lessons. How can we reconcile increasingly strict privacy regulations with data-hungry business models while avoiding past pitfalls?
The Algorithmic Republic: Can Democracy Survive Artificial Intelligence?
As AI swiftly reshapes our world, democracies find themselves on shifting ground. This session confronts AI not just as a powerful tool, but as a lever of immense influence, often operating beyond democratic oversight. In a world increasingly defined by algorithms, how do we protect the very fabric of trust in information and maintain control over our digital lives? What fundamental questions must we ask about AI's role in governance and its ultimate impact on the future of democratic institutions?