AI Exchange
timezone
+00:00 GMT
SIGN IN
  • Home
  • Events
  • Content
  • People
  • Messages
  • Channels
  • Help
Sign In
Sign in or Join the community to continue

Human Expression and the Future of Empathetic AI

Posted Oct 18
# TransformX 2022
# Computer Vision
# Natural Language Processing (NLP)
# Large Language Models (LLMs)
# GPT-3
Share
SPEAKER
Alan Cowen
Alan Cowen
Alan Cowen
Chief Scientist and CEO @ Hume AI

Alan Cowen, PhD is an applied mathematician and computational emotion scientist who has developed new data-driven methods to study human experience and expression. He is the CEO of Hume AI, a startup that provides next-generation tools to understand expressive behavior in audio, video, text, and images. Prior to founding Hume AI, he was a researcher at Google AI, where he helped establish affective computing research efforts. Cowen’s studies in Nature, PNAS, Science Advances, and Nature Human Behavior are the first to analyze facial and vocal expressions at a sufficient scale and level of precision to draw inferences from their occurrence in everyday life across cultures. His work has given rise to a mathematically-based theory of emotion, semantic space theory, which conceives of emotions as dimensions of a complex, multidimensional space.

+ Read More

Alan Cowen, PhD is an applied mathematician and computational emotion scientist who has developed new data-driven methods to study human experience and expression. He is the CEO of Hume AI, a startup that provides next-generation tools to understand expressive behavior in audio, video, text, and images. Prior to founding Hume AI, he was a researcher at Google AI, where he helped establish affective computing research efforts. Cowen’s studies in Nature, PNAS, Science Advances, and Nature Human Behavior are the first to analyze facial and vocal expressions at a sufficient scale and level of precision to draw inferences from their occurrence in everyday life across cultures. His work has given rise to a mathematically-based theory of emotion, semantic space theory, which conceives of emotions as dimensions of a complex, multidimensional space.

+ Read More
SUMMARY

Humans evolved to communicate with other humans, not with algorithms. So, to create algorithms that are better at doing what we want, we need to understand how humans communicate. Alan Cowen, CEO and Chief Scientist at Hume AI, discusses how algorithms can better understand human communication and the role this will play in the future. Cowen covers semantic space theory, a new data-driven way of thinking about emotions and how we express them. Hume runs experiments all over the world to see how humans express themselves, and measures nuances of expression in voice, language, face, and body movements. Hume then leverages this data to fine-tune models, such as GPT-3 to create a model that controls the emotional tone of a response. The goal is to create more responsive assistive technology and to enhance training tools for healthcare professionals and others.

He also discusses what new datasets and models are teaching us about the vocabulary of human expression and some of Hume’s findings, and how expressive communication and empathy can be built into modern technology. Cowen is an applied mathematician and computational emotion scientist. Prior to founding Hume AI, he was a researcher at Google AI, where he helped establish affective computing research efforts.

+ Read More

Watch More

49:31
Posted Oct 06 | Views 10.6K
# TransformX 2021
# Fireside Chat
43:30
Posted Jun 21 | Views 1.1K
# Transform 2021
# Fireside Chat