AI Bias: Can We Teach Fairness?

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Decoded: AI for Everyone

Joel Leslie

17 episodes

9 hours ago

Where silicon meets soul, and algorithms make sense of the everyday. This isn’t just another tech podcast. Decoded demystifies artificial intelligence with wit, warmth, and a dash of the delightfully unexpected. From invisible assistants that shape your shopping habits, to machine minds behind medicine, marketing, and music... we explore how AI is quietly reshaping our lives, one line of code at a time. No jargon. No gatekeeping. Just real stories, smart people, and a gentle unravelling of the future we’re already living.

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All content for Decoded: AI for Everyone is the property of Joel Leslie and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

Where silicon meets soul, and algorithms make sense of the everyday. This isn’t just another tech podcast. Decoded demystifies artificial intelligence with wit, warmth, and a dash of the delightfully unexpected. From invisible assistants that shape your shopping habits, to machine minds behind medicine, marketing, and music... we explore how AI is quietly reshaping our lives, one line of code at a time. No jargon. No gatekeeping. Just real stories, smart people, and a gentle unravelling of the future we’re already living.

Show more...

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AI Bias: Can We Teach Fairness?

Decoded: AI for Everyone

7 minutes 51 seconds

3 weeks ago

AI Bias: Can We Teach Fairness?

If AI learns from us, and we’re biased, can an algorithm ever be fair?

In this second episode of Season 2, we decode bias in AI, where it comes from, how it shows up in our daily lives, and what industry and academia are doing to fix it.

From facial recognition failures and gendered hiring tools to the frameworks that now test AI for fairness, this episode explores how bias reflects our humanity, and how we can design accountability around it.

What we discuss:

Everyday examples of bias in AI you’ve already encountered
The difference between historical, design, and context bias
The rise of bias auditing frameworks from NIST, OECD, and Australia’s AI Ethics Principles
The new roles shaping the future of responsible AI, from bias engineers to AI auditors
Simple actions you can take to spot and challenge bias in the AI tools you use

Because fairness in AI isn’t automatic. It’s intentional.

Season 2 of Decoded: AI for Everyone is powered by Strategen AI, Where Research Meets Execution.

RESOURCES

Learn more and explore the tools featured in this episode:

Podcast Website: decoded-podcast.com
Prompts & Tools: promptengineeringcookbook.com
AI Strategy & Research: strategen-ai.com
LinkedIn: linkedin.com/company/decoded-ai-for-everyone