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Unpacking AI Bias: Recognizing and Mitigating Prejudice - AI Basics: The Fundamentals

Updated: May 1


Unpacking AI Bias: Recognizing and Mitigating Prejudice - AI Basics: The Fundamentals


In this episode of AI Ed: From Bits to Breakthroughs, we dive into Unpacking AI Bias—how it develops, its real-world consequences, and what we can do to mitigate it. Join Zoey 3.0, one of the AI-generated avatars at newbits.ai, as we explore the complexities of bias in AI and the importance of promoting fairness and inclusivity in AI systems.


What’s Inside:


  • How AI Bias Develops: Learn how historical data, sampling biases, and biased labeling can influence AI systems and perpetuate prejudice.


  • Real-World Consequences: Discover the impact of AI bias in areas like hiring, facial recognition, and healthcare, and why addressing these issues is essential.


  • Strategies to Mitigate Bias: Explore how diverse data, bias audits, and transparency can reduce bias and improve the fairness of AI systems.

Why Watch?


  • Understanding AI Bias: Gain insight into the challenges of AI bias and how they affect everyday decisions and industries.


  • Community Engagement: Join the newbits.ai community in discussions on how to combat AI bias and help foster more inclusive and responsible AI systems.



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