64. Emotion detection with Andrew McStay

This episode we're chatting with Andrew McStay about emotional human machine interface, emotion face and voice detection, emotion detection and hiring–and the possiblity of gaming these systems, interactive AI kids toys, the space between an ethical subject and an object in AI systems, raising children in an AI world, cultural differences in emotional profiling, emotional AI regulation.
Date: 15th of November 2021
Podcast authors: Ben Byford with Andrew McStay
Audio duration: 50:23
Website plays & downloads: 41 Click to download
Tags: Emotion detection, Emotional AI, Face tracking, Culture, Voice detection

Andrew McStay is Professor of Digital Life at Bangor University, UK. His most recent book, Emotional AI: The Rise of Empathic Media, examines the impact of technologies that make use of data about affective and emotional life. Director of The Emotional AI Lab, current projects include cross-cultural social analysis of emotional AI in UK and Japan. Non-academic work includes IEEE membership (P7000/7014) and ongoing advising roles for start-ups, NGOs and policy bodies. He has also appeared and made submissions to the United Nations Office of the High Commissioner on the right to privacy in the digital age, the UK House of Lords AI Inquiry and the UK Department for Culture, Media and Sport Inquiry on emotion, news and reality media.

No transcript currently available for this episode.

Episode host: Ben Byford

Ben Byford is a AI ethics consultant, code, design and data science teacher, freelance games designer with over 10 years of design and coding experience building websites, apps, and games.

In 2015 he began talking on AI ethics and started the Machine Ethics podcast. Since, Ben has talked with academics, developers, doctors, novelists and designers on AI, automation and society.

Through Ethical by Design Ben and the team help organisations make better AI decisions leveraging their experience in design, technology, business, data, sociology and philosophy.

@BenByford