Examining Gender Bias in Large Language Models - Is AI Sexist?

Explore gender bias in artificial intelligence through this 20-minute conference talk from All Things Open that examines how AI systems can reflect and amplify real-world prejudices. Delve into the critical question of AI objectivity, particularly focusing on gender bias in Large Language Models. Learn three practical steps for addressing AI bias: gaining foundational knowledge about artificial intelligence through recommended resources like Professor Ethan Mollick's "Co-intelligence", identifying personal biases using Harvard's Implicit Association Test, and developing a critical approach to consuming AI technologies in daily life. Understand how to recognize and speak up against harmful or unexpected behaviors in AI applications, while gaining insights into making AI systems more ethical and equitable.