The Deep Trouble of Deepfake: What Can or Should We Do?

The Deep Trouble of Deepfake: What Can or Should We Do?

Once the stuff of science fiction, deepfake technology has rapidly become one of the most powerful—and consequential—applications of generative AI, blurring the line between reality and illusion and reshaping how we trust what we see and hear online. This month we delve into this phenomenon with Professor Hany Farid, a pioneer in digital forensics, and Professor Siwei Lyu, whose lab develops state-of-the-art deepfake detection methods.Together, they’ll walk us through the data journey—from the vast raw data sets that fuel synthetic media to the pixel-level signatures that can unmask it. Whether you’re a computer scientist, policymaker, or simply curious about how synthetic content is transforming our information landscape, join us for an in-depth conversation about turning data into both convincing illusions and robust defenses—and learn how we can preserve trust and truth in our rapidly evolving digital world.

Our guests:

  • Hany Farid is a professor at the University of California, Berkeley, with a joint appointment in the Department of Electrical Engineering and Computer Sciences and the School of Information. He is also a member of the Berkeley Artificial Research Intelligence Lab, Berkeley Institute for Data Science, Center for Innovation in Vision and Optics, Development Engineering program, Vision Science program, and is a senior faculty advisor for the Center for Long-Term Cybersecurity.
  • Siwei Lyu is a SUNY Distinguished Professor and a SUNY Empire Innovation Professor at the Department of Computer Science and Engineering, the director of the UB Media Forensic Lab, and founding co-director of the Center for Information Integrity at the University of Buffalo, State University of New York.

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(66)

Recreations in Randomness: From Glicko Rating to World Cup

Recreations in Randomness: From Glicko Rating to World Cup

This month’s episode of the Harvard Data Science Review Podcast explores the rapidly evolving world of sports analytics and how advances in data science are transforming the way we understand competit...

30 Jun 39min

The Judgment of Paris at 50: Wine, Wisdom, and What We Still Don’t Know

The Judgment of Paris at 50: Wine, Wisdom, and What We Still Don’t Know

This month’s episode of the Harvard Data Science Review Podcast uncorks the fascinating intersection of wine, judgment, and data science. Economist and wine expert Orley Ashenfelter and Master of Wine...

1 Jun 29min

What Can We Learn From The Histories of AI:  A Conversation With Stephanie Dick

What Can We Learn From The Histories of AI: A Conversation With Stephanie Dick

What can history teach us about today’s AI revolution? In this month’s episode of the Harvard Data Science Review Podcast, we are joined by Stephanie Dick, a historian of science and technology, to ex...

30 Apr 44min

Spiritual Enlightenment and AI Enhancement: Can They Align?

Spiritual Enlightenment and AI Enhancement: Can They Align?

In this month’s episode of the Harvard Data Science Review Podcast, we explore a timeless yet increasingly urgent question: What does it mean to flourish as a human being in an age of artificial intel...

30 Mar 34min

Better Data, Better Date?

Better Data, Better Date?

This month on the Harvard Data Science Review Podcast, we explore the data behind modern dating. With millions of swipes happening daily, dating apps promise compatibility through algorithms—but do th...

27 Feb 26min

Masterminds and Mindware for Agentic AI: Contextualized and Applied

Masterminds and Mindware for Agentic AI: Contextualized and Applied

Agentic AI is moving beyond assistive tools toward systems that can reason, plan, and act within complex workflows. In the latest episode of the Harvard Data Science Review Podcast,  we speak with Dir...

29 Jan 27min

Digital Twins and Virtual Twins: What Are They and What Do They Do for Humans?

Digital Twins and Virtual Twins: What Are They and What Do They Do for Humans?

In this month’s episode of the Harvard Data Science Review Podcast, we explore the rapidly evolving concept of digital twins—dynamic, data-driven replicas of complex systems—and their growing influenc...

23 Des 202538min

Tracking the Most Intoxicating Data: A Conversation With Eric LeVine

Tracking the Most Intoxicating Data: A Conversation With Eric LeVine

Fine wine meets data science in this month’s episode of the Harvard Data Science Review Podcast. Hosts Liberty Vittert Capito and Xiao-Li Meng explore how data, taste, and technology intertwine with E...

20 Nov 202538min

Populært innen Politikk og nyheter

giver-og-gjengen-vg
aftenpodden
aftenpodden-usa
fotballpodden-2
forklart
stopp-verden
popradet
lydartikler-fra-aftenposten
det-store-bildet
rss-gukild-johaug
hanna-de-heldige
dine-penger-pengeradet
rss-ness
nokon-ma-ga
aftenbla-bla
rss-espen-lee-usensurert
rss-penger-polser-og-politikk
e24-podden
grasoner-den-nye-kalde-krigen
ukrainapodden