Machine Unlearning: Techniques, Challenges, and Future Directions
About this episode
Ken Liu, Ph.D. student in Computer Science at Stanford, is the author of Machine Unlearning in 2024. We explore the concept of machine unlearning, a process of removing specific data points from trained AI models.
Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/
Subscribe: Apple • Spotify • Overcast • Pocket Casts • AntennaPod • Podcast Addict • Amazon • RSS.
Detailed show notes can be found on The Data Exchange web site.
Get every episode summarized
Each time The Data Exchange with Ben Lorica publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from The Data Exchange with Ben Lorica
Your AI Agent Is Costing You More Than You Think
The Data Exchange with Ben Lorica
Reasoning Doesn't Start With Language
The Data Exchange with Ben Lorica
An Agent Is Just an LLM in a For-Loop
The Data Exchange with Ben Lorica
The Bloomberg Terminal for AI Compute
The Data Exchange with Ben Lorica