Is AI Sexist? Examining Gender Bias in Large Language Models

Explore a thought-provoking 20-minute conference talk from All Things Open that investigates gender bias in artificial intelligence systems, particularly focusing on Large Language Models (LLMs). Delve into how AI systems, often perceived as objective, can inadvertently reflect and amplify real-world gender biases. Learn about the challenges in measuring bias impact within Transformer models powering popular LLMs like ChatGPT, and discover practical steps for promoting equity in AI development. Gain valuable insights into the sources of bias in natural language processing (NLP) while understanding the collaborative efforts needed to address these issues. Master three essential takeaways: developing AI literacy, recognizing personal biases, and maintaining a critical approach when consuming AI-generated content. Through this presentation, delivered by Emily Maxie at the Inclusion and Diversity in Open Source event, understand the crucial importance of developing unbiased AI systems and the role developers play in countering inadvertent biases in technology.