In this episode, Nathan sits down with Alan Cowen, CEO and Chief Scientist at Hume AI, an emotional intelligence startup working on creating emotionally aware AI.
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X/SOCIAL
@labenz (Nathan)
@AlanCowen (Alan)
@eriktorenberg (Erik)
@CogRev_Podcast
LINKS:
Hume: https://hume.ai/
TIMESTAMPS:
(00:00) - Episode Preview
(00:04:52) - How do you define happiness? How can AI make people happy?
(00:08:40) - The striking experience of trying the Hume demo
(00:09:16) - Building multimodal models using facial expressions, vocal signals, speech patterns
(00:12:27) - How Hume’s models have an advantage of LLMs when it comes to interpreting emotions
(00:13:23) - Assembling diverse datasets of emotional judgments via surveys
(00:15:27) - Sponsors: Shopify
(00:22:00) - Across populations, what is common or different in people’s judgement of facial expressions
(00:26:00) - Interrater reliability for training data
(00:30:48) - Sponsors: Omneky
(00:33:20) - The unique labelling of “awe” across different cultures
(00:36:23) - Customizing models for cultural emotional expression norms
(00:41:13) - How they determined the set of emotions recognized by the model
(00:42:50) - Schadenfreude as a unique example of semantic space research
(00:49:00) - Custom models
(00:52:42) - Using Hume in B2B contexts
(00:59:49) - The cost comparison of having a human analyze emotions vs AI
