'Is AI sexist?' - Emily Maxie on examining gender bias in Large Language Models

In her presentation, Emily Maxie explored the issue of bias in artificial intelligence, a topic that has far-reaching implications for both our present and future. Titled "Is AI Sexist? Examining Gender Bias in Large Language Models," her talk examined how AI, which we often think of as objective, can reflect and even amplify the biases present in the real world—particularly gender bias.

Key takeaways:
* Educate yourself about AI.
* Understand your own biases.
* Be critical consumers of AI.

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Presented at the Inclusion and Diversity in Open Source event at All Things Open 2024
Presented by Emily Maxie - Firm360

Title: Is AI Sexist? Examining Gender Bias in Large Language Models
Abstract: This presentation delves into gender bias in Transformer models that power Large Language Models (LLMs) like ChatGPT, discussing challenges in measuring bias impact and promoting equity in AI systems. We’ll analyze bias sources in natural language processing (NLP), emphasizing collaborative efforts to address gender bias. The talk aims to spark discussions on detecting bias and deploying fair language models. It stresses the importance of unbiased AI systems in countering inadvertent biases.