Discussions surrounding generative AI have gained significant momentum and are evolving rapidly. The substantial progress in machine learning has sparked debates globally about ethical, social, political, and creative implications. These discussions explore topics such as use cases in the workplace, the impact on the economy, data availability and quality, privacy, scalability and much more. Our team monitors the public conversation on this game-changing technology and provides you with a curated list of discussions with leading thinkers in technology, business and social policy.
AI is the Next Free Speech Battleground
AI isn’t just a technological shift—it’s redefining how free speech is interpreted, protected, and regulated. This article from the Center for Humane Technology examines why courts, policymakers, and platforms are increasingly treating AI as the next major free-speech battleground, with implications that extend far beyond tech. A timely read for anyone tracking the intersection of law, democracy, and artificial intelligence.
AGI Beyond the Buzz: What Is It, and Are We Ready?
Center for Humane Technology Podcast: April 2025
As artificial general intelligence moves from abstraction to felt reality, the most important questions are no longer about definitions or timelines, but about governance, accountability, and societal readiness. In this conversation, Aza Raskin and Randy Fernando explore what it truly means to “feel the AGI”—and why humanity’s track record with powerful technologies suggests urgent changes are needed now to align AI systems with human values, incentives, and long-term outcomes.
What if DArio Amodei Is Right About A.I.?
New York Times Opinion, The Ezra Klein Show, April 2024
Summary: Back in 2018, Dario Amodei worked at OpenAI. And looking at one of its first A.I. models, he wondered: What would happen as you fed an artificial intelligence more and more data? He and his colleagues decided to study it, and they found that the A.I. didn’t just get better with more data; it got better exponentially. The curve of the A.I.’s capabilities rose slowly at first and then shot up like a hockey stick.