Episode 23 Well-being | The Feelings Lab
Published on Jun 7, 2022
Can AI teach itself to improve our well-being? Join Dr. Alan Cowen, CEO of Hume AI, Dr. Dacher Keltner, professor of psychology at the University of California, Berkeley and founding director of the Greater Good Science Center, and podcast host Matt Forte as they discuss how the future of technology hinges on the measurement of human well-being.
We begin with Dr. Dacher Keltner discussing the overall effects of new technologies on the well-being of Gen Z.
Dr. Alan Cowen, Hume AI CEO, discusses how technology companies are not simply seeking to maximize engagement at all costs, and points to developments on the horizon for considering human well-being.
Dr. Alan Cowen, Hume AI CEO, elaborates on how well-being is the ultimate key to the ethical deployment of empathic AI.
Dr. Alan Cowen, Hume AI CEO, describes how AI technologies can incorporate self-report and objective indicators of user well-being.
Subscribe
Sign up now to get notified of any updates or new articles.
Share article
Recent articles
Introducing Hume’s Empathic Voice Interface (EVI) API
Last month, we released the demo of our Empathic Voice Interface (EVI). The first emotionally intelligent voice AI API is finally here! EVI does a lot more than stitch together transcription, LLMs, and text-to-speech. With a new empathic LLM (eLLM) that processes your tone of voice, EVI unlocks new capabilities like knowing when to speak, generating more empathic language, and intelligently modulating its own tune, rhythm, and timbre. EVI is the first voice AI that really sounds like it understands you.
What is semantic space theory?
Our models and products are built on a cutting-edge approach to understanding emotion: semantic space theory (SST), which uses computational methods and data-driven approaches to map the full spectrum of our feelings