EPISODE · Jul 15, 2025 · 1H 21M
Jonathan Zittrain: AI Agents and Trust
from Before AGI · host Aleksander Mądry
AI systems are beginning to act on our behalf — executing tasks, making decisions, and influencing daily life in ways that often escape direct human oversight. What are the consequences of delegating decision-making to systems we don’t fully understand? How do we design AI to enhance human capabilities without sidelining human judgment?In this episode, host Aleksander Mądry welcomes Jonathan Zittrain, Professor at Harvard Law School and Co-Founder of the Berkman Klein Center for Internet & Society. They explore the legal, ethical, and societal challenges of living alongside increasingly autonomous AI. Drawing on lessons from the internet’s evolution, Zittrain examines how we can structure responsibility, foster innovation, and build systems that truly serve the public good — all while navigating the profound opportunities and risks of this technological transformation.09:20 - Three eras of internet evolution14:56 - Generative tech and equilibrium challenges20:59 - Generativity vs. closed systems26:36 - The promise and pitfalls of AI assistants32:56 - Privacy, privilege, and AI user rights39:01 - Regulation, self-regulation, and global policy48:28 - Defining AI agents and their real-world impact52:26 - AI’s potential to empower the marginalized1:15:41 - Acceleration, agency, and the future
What this episode covers
AI systems are beginning to act on our behalf — executing tasks, making decisions, and influencing daily life in ways that often escape direct human oversight. What are the consequences of delegating decision-making to systems we don’t fully understand? How do we design AI to enhance human capabilities without sidelining human judgment?In this episode, host Aleksander Mądry welcomes Jonathan Zittrain, Professor at Harvard Law School and Co-Founder of the Berkman Klein Center for Internet & Society. They explore the legal, ethical, and societal challenges of living alongside increasingly autonomous AI. Drawing on lessons from the internet’s evolution, Zittrain examines how we can structure responsibility, foster innovation, and build systems that truly serve the public good — all while navigating the profound opportunities and risks of this technological transformation.09:20 - Three eras of internet evolution14:56 - Generative tech and equilibrium challenges20:59 - Generativity vs. closed systems26:36 - The promise and pitfalls of AI assistants32:56 - Privacy, privilege, and AI user rights39:01 - Regulation, self-regulation, and global policy48:28 - Defining AI agents and their real-world impact52:26 - AI’s potential to empower the marginalized1:15:41 - Acceleration, agency, and the future
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Jonathan Zittrain: AI Agents and Trust
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