

Ken Shelton: AI Bias and Discrimination
Mar 11, 2024
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.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7
Introduction
00:00 • 2min
Promoting Diversity and Addressing Bias in AI Education
01:58 • 20min
Exploring Bias and Data Collection in AI Systems
22:07 • 3min
Navigating Bias and Discrimination in AI Models
25:15 • 11min
Addressing Bias in AI Education
35:59 • 21min
Exploring AI Creativity and Educational Equity
57:23 • 7min
Addressing Deep-seated Issues and Future Insights
01:04:14 • 2min