Ken Shelton, an advocate for diversity and inclusion in education, discusses the inherent bias in AI systems. Topics include how biases are embedded in AI, real-world consequences, strategies to combat bias, and the importance of diversity in AI development. The episode explores data collection challenges, bias in AI models, and ethical implications for education. It also touches on the creative uses of AI, educational equity, and the need to address deep-seated societal issues for a more equitable technological landscape.
