UC Berkeley (Audio)

The 2021-2022 term of the U.S. Supreme Court is widely considered to be the most consequential in living memory. Bruen, West Virginia v. EPA, Dobbs—the Court’s rulings in these controversial cases weakened gun restrictions, hobbled the Environmental Protection Agency’s ability to fight climate change, and overturned the constitutional protection for abortion rights nearly 50 years after Roe v. Wade. In The Supermajority: How the Supreme Court Divided America, Brennan Center for Justice president Michael Waldman examines the term’s major cases, the meaning of “originalism”—a new, extreme method of interpreting the Constitution—and offers proposals for reform. Join Waldman and Maria Echaveste, President and CEO of the Opportunity Institute and former senior White House official, for an in-depth look at the tumultuous 2021-2022 term and a discussion of how these decisions will affect every American for generations to come. Series: "The Goldman School - Berkeley Public Policy" [Public Affairs] [Show ID: 39848]

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]

After founding four companies and working at top firms in venture capital and private equity, where fast growth and maximum profits rule, David Whorton, Founder and CEO of the Tugboat Institute, has spent the last decade exploring and developing the concept of the evergreen company—one built to last privately over 100 years. The evergreen company stands in contrast to those that are being built to flip to generate wealth for a small few. Instead, evergreen companies are being built with very long planning horizons and the commitment to share their success with their employees and their communities. Whorton argues evergreen companies are incredibly important to our society, but overlooked and under-appreciated relative to venture capitalists, private equity and public companies that represent the de facto growth company models.

Since the dot.com boom, the de facto growth model for venture capitalists has been get-big-fast. It later evolved to growth-at-all-costs with the advent of cheap money under loose Fed policies. This play book led to numerous excesses, including the manic pursuit of ever larger and higher valuation rounds in hot companies. In the same period, private equity has risen dramatically, unwisely seen by many as a safer asset class than public stocks; an industry sits on over a trillion dollars of dry powder to invest, matched with a couple trillion of debt, giving the private equity firms purchasing power over $3 trillion dollars. Series: "Tanner Lectures on Human Values" [Business] [Show ID: 39235]

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]

California’s deepest problems — the skyrocketing cost of housing, the lagging development of clean energy, the traffic choking the state — reflect an inability of Democratic governments to build real things in the real world quickly and affordably. The result is liberal governance that routinely fails to achieve liberal outcomes. New York Times opinion columnist and podcast host Ezra Klein talks with Amy E. Lerman, Chair and Professor of Public Policy and Political Science at UC Berkeley, about how we got here and what can be done about it. Series: "UC Berkeley Graduate Lectures" [Public Affairs] [Business] [Show ID: 39236]

In this program, Jaron Lanier, Microsoft's prime unifying scientist, discusses a piece he published in The New Yorker (“There Is No AI”) about applying data dignity ideas to artificial intelligence. Lanier argues that large-model AI can be reconceived as a social collaboration by the people who provide data to the model in the form of text, images and other modalities. This is a figure/ground inversion of the usual conception of AI as being a participant or collaborator in its own right. Explanations of model results and behaviors would then center around the relative influence of specific inputs through a provenance calculation mechanism. This formulation suggests new and different strategies for long-term economics in the context of high-performance AI, as well as more concrete approaches to many safety, fairness and alignment questions.

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. The CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic, industry and civic leaders. Series: "Data Science Channel" [Science] [Show ID: 39326]