AI Alignment with Brian Christian of 'The Alignment Problem' episode artwork

EPISODE · Jul 25, 2023 · 33 MIN

AI Alignment with Brian Christian of 'The Alignment Problem'

from The {Closed} Session

What does ‘AI alignment mean? Can philosophy help make AI less biased? How does reinforcement learning influence AI's unpredictability? How does AI's ‘frame problem’ affect its ability to understand objects? What role does human feedback play in machine learning and AI fine-tuning?An acclaimed author and researcher who explores the human implications of computer science, Brian Christian is best known for his bestselling series of books: "The Most Human Human" (2011), "Algorithms to Live By" (2016), and "The Alignment Problem" (2020). The latter explores the ethical issues in AI, highlighting the biases and unintended outcomes in these systems and the crucial efforts to resolve them, defining our evolving bond with technology. With his deep insights and experiences, Brian brings a unique perspective to the conversation about ethics and safety challenges confronting the field of AI.Listen to the episode and read the transcript at superset.comGuest: Brian ChristianTwitter: @supersetstudio@ClosedSeshPod @tommychavez @vsvaidyaSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Episode metadata supplied by the publisher feed · Published Jul 25, 2023

What does ‘AI alignment mean? Can philosophy help make AI less biased? How does reinforcement learning influence AI's unpredictability? How does AI's ‘frame problem’ affect its ability to understand objects? What role does human feedback play in machine learning and AI fine-tuning?An acclaimed author and researcher who explores the human implications of computer science, Brian Christian is best known for his bestselling series of books: "The Most Human Human" (2011), "Algorithms to Live By" (2016), and "The Alignment Problem" (2020). The latter explores the ethical issues in AI, highlighting the biases and unintended outcomes in these systems and the crucial efforts to resolve them, defining our evolving bond with technology. With his deep insights and experiences, Brian brings a unique perspective to the conversation about ethics and safety challenges confronting the field of AI.Listen to the episode and read the transcript at superset.comGuest: Brian ChristianTwitter: @supersetstudio@ClosedSeshPod @tommychavez @vsvaidya See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

PodParley-generated summary based on available episode metadata and transcript content.

NOW PLAYING

AI Alignment with Brian Christian of 'The Alignment Problem'

0:00 33:56

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Frequently Asked Questions

How long is this episode of The {Closed} Session?

This episode is 33 minutes long.

When was this The {Closed} Session episode published?

This episode was published on July 25, 2023.

What is this episode about?

What does ‘AI alignment mean? Can philosophy help make AI less biased? How does reinforcement learning influence AI's unpredictability? How does AI's ‘frame problem’ affect its ability to understand objects? What role does human feedback play in...

Can I download this The {Closed} Session episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!