While preparing his lectures for UC Berkeley, Princeton University President Christopher Eisgruber spent hours poring over the memoirs and writings of former University of California President Clark Kerr, seeking wisdom from the architect of California’s 1960 Master Plan for Higher Education.

Reflecting on this research, Eisgruber notes that he found more than just strategy; he found a personal connection. "I have been impressed by Kerr's wit, wisdom and decency,” he says, “and I have come to feel not only admiration but affection for him.”

In his first of two lectures at Berkeley in February, Eisgruber draws on Kerr’s 1963 “hinge of history” idea to explain why American research universities are especially vulnerable to political and social attacks today.

Kerr believed there was a turning point in the mid-20th century where the role of universities shifted from the periphery of society to its center as primary engines of economic and social growth. Eisgruber contends that this newfound prominence made them higher-stakes targets for public and political frustration. He points to three post-1960s shifts — rising student debt, accelerating competition and universities’ high profile in national debates over racial justice — as forces that have "compromised the political base that can help to protect higher education in moments of crisis.”

Still, Eisgruber remains optimistic about the resilience of the American research university. He highlights the sector's ability to drive global recovery during the pandemic and its success in broadening its reach to include talent from all walks of life as proof of its enduring strength. While its shift to the center of national life has invited new pressures, he argues that the intense public focus on these institutions confirms their role as vital spaces for a diverse democracy to do its most important thinking.

He suggests that the path forward lies in universities embracing this central, if contested, role by sustaining the vision Kerr championed: "a truly American university, an institution unique in world history, an institution not looking to other models but serving as a model for universities in other parts of the globe.”

This talk was one of two lectures that Eisgruber gave on Feb. 24 and Feb. 26 as part of the Clark Kerr Lecture Series, co-sponsored by the Center for Studies in Higher Education, the Goldman School of Public Policy and Berkeley Law.

Watch videos of both of Eisgruber’s lectures.

Listen to the episode and read the transcript on UC Berkeley News (news.berkeley.edu/podcasts/berkeley-talks).

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Photo via The Bancroft Library archive.

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Over her decadeslong career as a developmental psychologist, Alison Gopnik has observed a striking phenomenon: When children are given a new toy without an obvious use, they often outperform high‑achieving college students in figuring out how it works. While adults tend to test the most likely possibilities and quickly get stuck, children respond with playful experimentation.

"What children are doing is exactly the kind of open-ended, non-utilitarian, exploratory learning that allows you to find out things about the world that you would never find out any other way,” says Gopnik, a UC Berkeley professor of psychology.

In this Berkeley Talks episode, Gopnik argues that human intelligence is not a single, general capacity, but a collection of distinct cognitive modes — exploration, exploitation and care — that are distributed across different stages of a person’s life. Childhood, she says, is evolution’s way of creating a dedicated “explorer” phase, made possible by a specialized care system provided by adults.

"The reason why we can have these big brains," she explains, "is because we have this period of childhood where we're protected ... and we have those older people who are there to provide the resources.”

Gopnik contrasts this biological model with current artificial intelligence, noting that while large language models excel at using existing data to predict patterns, it lacks the embodied, curiosity‑driven learning of a child. To create truly intelligent systems, she suggests that we need to focus on the “intelligence of care.”

“A system that develops, that changes over time, and in particular, a system that's cared for by humans or cared for by other intelligent agents — that's the secret of human intelligence,” she says. “That's the kind of system you'd need if you wanted a system that had the same kind of intelligence as humans.”

This lecture took place on Nov. 5, 2025, as part of the Berkeley Distinguished Faculty Lectures in the Social Sciences.

Listen to the episode and read the transcript on UC Berkeley News (news.berkeley.edu/podcasts/berkeley-talks).

Music by HoliznaCC0.

UC Berkeley photo.

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Two decades ago, when Hany Farid first began studying digital misinformation and manipulated media, fake content was easier to detect. Today, that landscape has shifted with a speed that he describes as “breathtaking.” In just the last year or two, he says, we’ve moved from an era where a computer takes seconds or minutes to produce a static file to "full-blown interactive deepfakes" that can hold a live conversation in real time.

In this Berkeley Talks episode, Farid, a digital forensics expert and professor at UC Berkeley’s School of Information, discusses the rapidly accelerating landscape of generative AI and the unique threat it poses to our collective understanding of the world.

Farid notes that tools once reserved for governments or well-funded organizations are now freely available, radically expanding the threat landscape. “We have taken a mechanism that was in the hands of state-sponsored actors and bad actors and given it to 8 billion people in the world," he says. This democratization of powerful technology makes it much easier to create convincing false images, audio and video — and much harder to trust what we see online.

And he explains that human perception is no longer a reliable defense, as his research shows people are only slightly better than chance at identifying AI-generated content.

To reduce the damage to our shared sense of reality, Farid suggests solutions should focus on the systems that profit from harmful content, including platforms and ad networks that help it spread. He also gives a warning about news consumption: “Stop getting your news from social media. That’s not what it was designed for.

Despite the rise of deepfakes and online deception, Farid says he rejects the idea that there is no truth or fact. He believes that, although it takes effort, people can still work together to understand what is happening in the world.

This lecture, which took place on March 13, was part of LNS 110: Brilliance of Berkeley, a course featuring distinguished researchers working on the world’s most pressing issues.

Watch Farid's lecture (with slides) on YouTube.

Listen to the episode and read the transcript on UC Berkeley News (news.berkeley.edu/podcasts/berkeley-talks).

Music by HoliznaCC0.

Screenshot from lecture.

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