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America’s contemporary democratic predicament is rooted in its historically incomplete democratization. Born in a pre-democratic era, the constitution’s balancing of majority rule and minority rights created still-unresolved dilemmas. Placing the U.S. in comparative perspective, Daniel Ziblatt, professor of government at Harvard University, offers new perspectives on what should be “beyond the reach of majorities” – and what should not – making the case for a fuller democracy as antidote to the perils of our age.

Ziblatt is also director of the Transformations of Democracy group at Berlin’s WZB Social Science Center. He is the author of four books, including "How Democracies Die," co-authored with Steve Levitsky, a New York Times best-seller. His newest book co-authored with Steven Levitsky is entitled "Tyranny of the Minority." Series: "UC Berkeley Graduate Lectures" [Public Affairs] [Show ID: 39237]

What does it mean when we use the first-person pronoun ‘I’? And how does it relate to self-consciousness? In this program, Béatrice Longuenesse, professor of philosophy emerita at New York University, compares the analysis of philosophers Elizabeth Anscombe and Jean-Paul Sartre on consciousness, self-consciousness and the use of 'I'.

Languenesse's current work spans the history of philosophy, especially Kant and nineteenth century German philosophy; the philosophy of language and mind; and philosophical issues related to Freudian psychanalysis. Series: "UC Berkeley Graduate Lectures" [Humanities] [Show ID: 39240]

Where did the American Dream of hard work equals upward mobility go? And what will it take to bring it back? In this talk, Raj Chetty, director of Opportunity Insights and professor of public economics at Harvard University, focuses on three policy levers to increase upward mobility: reducing racial and economic segregation through more effective affordable housing programs, investing in place-based policies, and strengthening higher education. Chetty gives specific examples of pilot studies and interventions that help inform the design of policy and practice from the federal to state to local levels, including at institutions of higher education such as UC Berkeley. He offers illustrations that can be scaled nationally, providing a pathway to expand opportunities for all. Series: "UC Berkeley Graduate Lectures" [Public Affairs] [Business] [Show ID: 39239]

Children’s chances of earning more than their parents have fallen from 90% to 50% over the past half century in America. How can we restore the American Dream of upward mobility for all children? In this talk, Raj Chetty, director of Opportunity Insights and professor of public economics at Harvard University, shows how big data from varied sources ranging from anonymized tax records to Facebook social network data is helping us uncover the science of economic opportunity. Among other topics, Chetty discusses how and why children’s chances of climbing the income ladder vary across neighborhoods, the drivers of racial disparities in economic mobility, and the role of social capital as a driver of upward mobility. He presents data on the state of economic opportunity in California in particular to provide a local context to these national patterns. Series: "UC Berkeley Graduate Lectures" [Public Affairs] [Business] [Show ID: 39238]

Young children’s learning may be an important model for artificial intelligence (AI). In this program, Alison Gopnik, professor of psychology and member of the Berkeley Artificial Intelligence Research (BAIR) Lab at UC Berkeley, says that comparing children and artificial agents in the same tasks and environments can help us understand the abilities of existing systems and create new ones. In particular, many current large data-supervised systems, such as large language models (LLMs), provide new ways to access information collected by past agents. However, they lack the kinds of exploration and innovation that are characteristic of children. New techniques may help to instantiate childlike curiosity, exploration and play in AI systems.

This program is co-hosted with the UC Berkeley College of Computing, Data Science, and Society and the UC Berkeley Artificial Intelligence Research (BAIR) Lab.

About the Series:
CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic, industry and civic leaders. Free and open to the public, these seminars feature leading voices on societal-scale research issues. Series: "Data Science Channel" [Science] [Show ID: 39351]

Researchers used to define objectives for artificial intelligence (AI) agents by hand, but with progress in optimization and reinforcement learning, it became obvious that it's too difficult to think of everything ahead of time and write it down. Instead, these days the objective is viewed as a hidden part of the state on which researchers can receive feedback or observations from humans — how they act and react, how they compare options, what they say. In this talk, Anca Dragan, Associate Professor of Electrical Engineering and Computer Sciences at UC Berkeley, discusses what this transition has achieved, what open challenges researchers still face and ideas for mitigating them. Dragan discusses applications in robotics and how the lessons there apply to virtual agents like large language models. Series: "Data Science Channel" [Science] [Show ID: 39350]