🎙️AI Ethics Exposed: The Truth About Fairness & Bias : Episode 39

PLUS:🔍 Uncovering AI’s Biggest Challenge – Can We Build Truly Unbiased AI?

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EPISODE 39 : AI Ethics Exposed: The Truth About Fairness & Bias!

In this episode, we’re diving deep into one of the most critical discussions in AIethics, bias, and fairness in machine learning. Join Cortnie Abercrombie (CEO & Founder of AI Truth) and Hassan Patel (Director of Global AI Policy at Fairly AI) as we uncover the challenges and solutions in building responsible AI.

💡 How do we ensure fairness in AI-driven decisions? Can AI ever be truly unbiased? Let’s find out!

 📢 What’s Inside This Episode?

  • Understanding AI Bias – Why do AI models develop bias, and can it be eliminated?

  • AI Decision-Making Transparency – Should AI companies disclose how models make decisions?

  • The Real-World Impact of AI Bias – How bias in finance and healthcare affects people’s lives.

  • Balancing AI Regulation & Innovation – Can companies ensure compliance without stifling growth?

  • Causal AI & Explainability – The next step in AI fairness and interpretability.

  • The Future of Ethical AI – What’s coming next, and how should businesses prepare?

🎧️ Spotify

🎥 Watch on YouTube

Cortnie Abercrombie – AI Truth CEO drops ethics truth bombs 
Hassan Patel – Fairly AI’s policy guru on governance now

📩 Share Your Thoughts

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❓ Do you think AI can ever be truly unbiased?

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📩 Share Your Thoughts

Have thoughts or questions about this episode? Reply to this email and share how AI is transforming your approach to healthcare or diagnostics. We'd love to hear your perspective on AI innovations and their potential to reshape the medical field!

Stay innovative, The AI Entrepreneurs Team

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Answers to the Quiz : Improved access for non-English speaking patients & Remote Patient Monitoring

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