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Lex Fridman PodcastRosalind Picard: Affective Computing, Emotion, Privacy, and Health | Lex Fridman Podcast #24
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Episode Details
EPISODE INFO
- Released
- June 17, 2019
- Duration
- 1h 0m
- Channel
- Lex Fridman Podcast
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
Rosalind Picard is a professor at MIT, director of the Affective Computing Research Group at the MIT Media Lab, and co-founder of two companies, Affectiva and Empatica. Over two decades ago she launched the field of affective computing with her book of the same name. This book described the importance of emotion in artificial and natural intelligence, the vital role emotion communication has to relationships between people in general and in human-robot interaction. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep24-sb See below for timestamps, and to give feedback, submit questions, contact Lex, etc. *CONTACT LEX:* *Feedback* - give feedback to Lex: https://lexfridman.com/survey *AMA* - submit questions, videos or call-in: https://lexfridman.com/ama *Hiring* - join our team: https://lexfridman.com/hiring *Other* - other ways to get in touch: https://lexfridman.com/contact *OUTLINE:* 0:00 - Introduction 1:00 - Affective computing 2:45 - Clippy 5:03 - Diversity in computer science 5:55 - Emotion in AI 8:40 - Privacy 18:10 - Forming a connection with AI systems 30:31 - Emotion 39:05 - Measuring signals from the brain and the body 50:20 - Future AI systems 53:50 - Faith and science 56:35 - Meaning of life *PODCAST LINKS:*
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SPEAKERS
Lex Fridman
hostRosalind Picard
guest
EPISODE SUMMARY
In this episode of Lex Fridman Podcast, featuring Lex Fridman and Rosalind Picard, Rosalind Picard: Affective Computing, Emotion, Privacy, and Health | Lex Fridman Podcast #24 explores Rosalind Picard on Emotional AI, Privacy Risks, Wearables, and Meaning Rosalind Picard explains affective computing as technology that senses, interprets, and responds to human emotion, and potentially even incorporates mechanisms analogous to emotion inside machines. She emphasizes both the technical difficulty and the ethical stakes, especially around surveillance, manipulation, and misuse by powerful actors and governments. A major focus is on wearable sensing and smartphones for predicting stress, mood, and health, and how these tools can help vulnerable populations (e.g., people with epilepsy, depression, or limited resources). She closes by reflecting on the limits of science, her Christian faith, and the importance of building AI that enhances human freedom, dignity, and well‑being rather than just profit or control.
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