Rosalind Picard: Affective Computing, Emotion, Privacy, and Health

Lex Fridman Podcast

Lex Fridman

Philosophy, Society & Culture, Science, Technology

4.7 • 13K Ratings

🗓️ 17 June 2019

⏱️ 60 minutes

🔗️ Recording | iTunes | RSS

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Summary

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. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you

Transcript

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0:00.0	The following is a conversation with Rosalind Picard.
0:02.8	She's the professor at MIT, director of the Effective Computing Research Group at the
0:07.1	MIT Media Lab, and co-founder of two companies,
0:10.2	Fectiva and Empatica.
0:12.4	Over two decades ago, she launched a field of effective computing with her book,
0:16.2	the same name.
0:17.6	This book described the importance of emotion in artificial and natural intelligence.
0:23.0	The vital role of emotional communication has to the relationship between people,
0:27.7	in general, and human robot interaction.
0:30.9	I really enjoy talking with Rosalind for so many topics, including emotion, ethics, privacy,
0:36.5	wearable computing, and her recent research in epilepsy, and even love and meaning.
0:42.7	This conversation is part of the Artificial Intelligence Podcast.
0:46.1	If you enjoy it, subscribe by YouTube, iTunes, or simply connect with me on Twitter, at
0:50.8	Lex Friedman, spelled F-R-I-D.
0:54.0	And now, here's my conversation with Rosalind Picard.
1:16.3	More than 20 years ago, you've coined the term effective computing and let a lot of
1:20.7	research in this area.
1:22.2	Once then, as I understand the goal is to make the machine detect and interpret the
1:27.0	emotional state of a human being and adapt to the behavior of the machine based on the
1:31.5	emotional state.
1:32.9	So how is your understanding of the problem-space defined by effective computing changed in the
1:38.9	past 24 years?
	...

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