Chapter
Emotion Recognition Technology and its Ethical Dilemmas
35:37 - 44:51 (09:14)
Affectiva's co-founder, Rana el Kaliouby, speaks about the company's focus on humanizing technology and bridging the connection gap between people, while maintaining clear values of opt-in and privacy. The company is particularly focused on two industries - market research and automotive - where emotion recognition technology can detect driver fatigue and understand how consumers emotionally engage with products and services, but ethical dilemmas around privacy and surveillance temper its development.
Clips
By establishing a baseline for individual facial expressions and vocal tonality, it becomes possible to gather objective data on deviations that may indicate a range of psychiatric conditions from depression to Parkinson's disease.
35:37 - 40:58 (05:20)
Summary
By establishing a baseline for individual facial expressions and vocal tonality, it becomes possible to gather objective data on deviations that may indicate a range of psychiatric conditions from depression to Parkinson's disease. The ability to objectively measure and quantify mental health biomarkers represents a major step forward in psychiatric diagnostics.
ChapterEmotion Recognition Technology and its Ethical Dilemmas
Episode#423: Rana el Kaliouby — AI, Emotional Intelligence, and The Journey of Finding Oneself
PodcastThe Tim Ferriss Show
Affectiva is a technology company that specializes in detecting emotions and facial expressions through AI.
40:58 - 44:51 (03:53)
Summary
Affectiva is a technology company that specializes in detecting emotions and facial expressions through AI. They have a clear focus on privacy and opt-in values; their first use-case was autism and their mission is to bridge the connection gap between people.