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Topic: AI Bias and Fairness

AI bias and fairness are critical considerations in developing AI systems that are equitable and inclusive, ensuring the benefits of technological advancements are distributed fairly across diverse populations.

More on: AI Bias and Fairness

The podcast episodes highlight the importance of addressing bias and fairness in AI development to create ethical, unbiased AI systems that have a positive societal impact.

In Episode 325, Dr. Stacy Hobson from IBM Research discusses the challenges of ensuring equity and inclusion in AI advancements, emphasizing the need for diverse perspectives and careful consideration of AI's societal impacts.

Similarly, Episode 109 with Sam Altman of OpenAI explores the potential for AI to both benefit and harm humanity, underscoring the importance of responsible governance and development to mitigate the risks of biased or misused AI systems.

All Episodes