56 min

He Built an AI Model That Can Decode Your Emotions - Ep. 19 with Alan Cowen How Do You Use ChatGPT?

    • Technology

This AI can read emotions better than you can.

It was created by Alan Cowen, the cofounder and CEO of Hume, an AI research lab developing models that can read your face and your voice with uncanny accuracy. Before starting Hume, Alan helped set up Google’s research into affective computing and has a Ph.D. in computational psychology from Berkely.

Hume’s ultimate goal is to build AI models that can optimize for human well-being, and in this episode I sat down with Alan to understand how that might be possible. 

We get into:


What an emotion actually is


Why traditional psychological theories of emotion are inadequate


How Hume is able to model human emotions


How Hume's API enables developers to build empathetic voice interfaces


Applications of the model in customer service, gaming, and therapy


Why Hume is designed to optimize for human well-being instead of engagement


The ethical concerns around creating an AI that can interpret human emotions


The future of psychology as a science 



This is a must-watch for anyone interested in the science of emotion and the future of human-AI interactions.

If you found this episode interesting, please like, subscribe, comment, and share! 

Want even more?

Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free.

To hear more from Dan Shipper:


Subscribe to Every: https://every.to/subscribe 


Follow him on X: https://twitter.com/danshipper 



Timestamps:


Dan tells Hume’s empathetic AI model a secret: 00:00:00


Introduction: 00:01:13


What traditional psychology tells us about emotions: 00:10:17


Alan’s radical approach to studying human emotion: 00:13:46 


Methods that Hume’s AI model uses to understand emotion: 00:16:46 


How the model accounts for individual differences: 00:21:08


Dan’s pet theory on why it’s been hard to make progress in psychology: 00:27:19


The ways in which Alan thinks Hume can be used: 00:38:12


How Alan is thinking about the API v. consumer product question: 00:41:22


Ethical concerns around developing AI that can interpret human emotion: 00:44:42



Links to resources mentioned in the episode:


Alan Cowen: @AlanCowen
Hume: @hume_AI; hume.ai
If you want to demo Hume: demo.hume.ai
The nonprofit associated with Hume: Hume Initiative
Lisa Feldman Barrett’s book: How Emotions Are Made
The TV series based on Paul Ekman’s theory of emotion: Lie to Me

This AI can read emotions better than you can.

It was created by Alan Cowen, the cofounder and CEO of Hume, an AI research lab developing models that can read your face and your voice with uncanny accuracy. Before starting Hume, Alan helped set up Google’s research into affective computing and has a Ph.D. in computational psychology from Berkely.

Hume’s ultimate goal is to build AI models that can optimize for human well-being, and in this episode I sat down with Alan to understand how that might be possible. 

We get into:


What an emotion actually is


Why traditional psychological theories of emotion are inadequate


How Hume is able to model human emotions


How Hume's API enables developers to build empathetic voice interfaces


Applications of the model in customer service, gaming, and therapy


Why Hume is designed to optimize for human well-being instead of engagement


The ethical concerns around creating an AI that can interpret human emotions


The future of psychology as a science 



This is a must-watch for anyone interested in the science of emotion and the future of human-AI interactions.

If you found this episode interesting, please like, subscribe, comment, and share! 

Want even more?

Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free.

To hear more from Dan Shipper:


Subscribe to Every: https://every.to/subscribe 


Follow him on X: https://twitter.com/danshipper 



Timestamps:


Dan tells Hume’s empathetic AI model a secret: 00:00:00


Introduction: 00:01:13


What traditional psychology tells us about emotions: 00:10:17


Alan’s radical approach to studying human emotion: 00:13:46 


Methods that Hume’s AI model uses to understand emotion: 00:16:46 


How the model accounts for individual differences: 00:21:08


Dan’s pet theory on why it’s been hard to make progress in psychology: 00:27:19


The ways in which Alan thinks Hume can be used: 00:38:12


How Alan is thinking about the API v. consumer product question: 00:41:22


Ethical concerns around developing AI that can interpret human emotion: 00:44:42



Links to resources mentioned in the episode:


Alan Cowen: @AlanCowen
Hume: @hume_AI; hume.ai
If you want to demo Hume: demo.hume.ai
The nonprofit associated with Hume: Hume Initiative
Lisa Feldman Barrett’s book: How Emotions Are Made
The TV series based on Paul Ekman’s theory of emotion: Lie to Me

56 min

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