Subvolts take AI ethics and bias are explored, emphasizing diversity for technology that benefits everyone. Mar 1, 2022 - Developers
- Understand the ethical challenges and the importance of diverse input when building AI systems.
- Business
- Learn why inclusive AI development is crucial for broader adoption and avoiding societal harm.
- Everyday users
- Discover how AI bias can affect you and why diverse representation matters in technology.
This episode features researchers from a leading AI lab discussing critical ethical considerations in AI development.
Fair for all
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Google DeepMind's "Fair for All" podcast episode, hosted by Hannah Fry, explores the ethical and social challenges of AI. DeepMind researchers Sasha Brown, William Isaac, Shakir Mohamed, Kevin Mckee, and Obum Ekeke discuss issues like racial and gender bias, AI misuse, and the necessity of diversity in technology development to ensure AI benefits everyone.
This podcast episode discusses how artificial intelligence can be unfair, like showing bias against certain groups. It explains why having diverse people build AI is important so that these tools work well and are safe for everyone, not just the people who make them.
This episode is for anyone concerned about AI's societal impact. It highlights the critical need for ethical considerations and diverse perspectives in AI development, directly linking to ongoing efforts by Google Gemini and other frontier labs to build responsible AI. Listeners will understand the complexities of bias in AI and why inclusive design is paramount for technology that serves all communities.
- HostHannah Fry
- GuestSasha BrownDeepMind
- GuestWilliam IsaacDeepMind
- GuestShakir MohamedDeepMind
- GuestKevin MckeeDeepMind
- GuestObum EkekeDeepMind
- Title: Fair for all
- Show: Google DeepMind: The Podcast
- Length: 33 minutes
- Guests: Sasha Brown, William Isaac, Shakir Mohamed, Kevin Mckee, Obum Ekeke (DeepMind)
AI needs to benefit everyone, not just those who build it. But fulfilling this promise requires careful thought before new technologies are built and released into the world. In this episode, Hannah delves into some of the most pressing and difficult ethical and social questions surrounding AI today. She explores complex issues like racial and gender bias and the misuse of AI technologies, and hears why diversity and representation is vital for building technology that works for all.
For questions or feedback on the series, message us on Twitter @DeepMind or email podcast@deepmind.com.
Interviewees: DeepMind’s Sasha Brown, William Isaac, Shakir Mohamed, Kevin Mckee & Obum Ekeke
Credits
Presenter: Hannah Fry
Series Producer: Dan Hardoon
Production support: Jill Achineku
Sounds design: Emma Barnaby
Music composition: Eleni Shaw
Sound Engineer: Nigel Appleton
Editor: David Prest
Commissioned by DeepMind
Thank you to everyone who made this season possible!
Further reading:
What a machine learning tool that turns Obama white can (and can’t) tell us about AI bias, The Verge: https://www.theverge.com/21298762/face-depixelizer-ai-machine-learning-tool-pulse-stylegan-obama-bias
Tuskegee Syphilis Study, Wikipedia: https://en.wikipedia.org/wiki/Tuskegee_Syphilis_Study
Ethics & Society, DeepMind: https://deepmind.com/about/ethics-and-society
Row over AI that 'identifies gay faces', BBC: https://www.bbc.co.uk/news/technology-41188560
The Trevor Project: https://www.thetrevorproject.org/
AI takes root, helping farmers identify diseased plants, Google: https://www.blog.google/technology/ai/ai-takes-root-helping-farmers-identity-diseased-plants/
How Can You Use Technology to Support a Culture of Inclusion and Diversity?, myHRfuture: https://www.myhrfuture.com/blog/2019/7/16/how-can-you-use-technology-to-support-a-culture-of-inclusion-and-diversity
Scholarships at DeepMind: https://www.deepmind.com/scholarships
AI, Ain’t I a Woman? Joy Buolamwini, YouTube: https://www.youtube.com/watch?v=QxuyfWoVV98
How to be Human in the Age of the Machine, Hannah Fry: https://royalsociety.org/grants-schemes-awards/book-prizes/science-book-prize/2018/hello-world/
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- AI bias
- Shakir Mohamed
- When AI systems unfairly favor or discriminate against certain groups of people.
- machine learning
- Sasha Brown
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Questions people ask
- What ethical issues does the podcast cover?
- The episode delves into racial and gender bias in AI, as well as the potential misuse of AI technologies.
- Why is diversity important in AI development?
- Diversity and representation are vital for building technology that works for all people, ensuring AI benefits everyone.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Hannah Fry.