Bias in AI, with Amanda Cercas Curry

Dr. Amanda Cercas Curry⁠ is a researcher at CENTAI Institute, where she is working on applied NLP, fairness and evaluation.In this episode, we explore the critical issue of bias in AI systems. Amanda shares her expertise on identifying, measuring, and mitigating various forms of bias in language models and other AI applications. We discuss the social and ethical implications of biased AI, and how researchers are working to create more fair and inclusive systems. This episode highlights the importance of diverse perspectives in AI development and the ongoing challenges in the field.

References

• ⁠Let's Chat Ethics⁠ podcast on Spotify
• ⁠How We Analyzed the COMPAS Recidivism Algorithm⁠
• ⁠Impoverished Language Technology: The Lack of (Social) Class in NLP⁠
• ⁠Signs of Social Class: The Experience of Economic Inequality in Everyday Life⁠
• ⁠Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution⁠
• ⁠How a chatbot encouraged a man who wanted to kill the Queen⁠

WiAIR website

Check out the podcast website for the teasers, episode schedule, and more information

• ⁠⁠https://women-in-ai-research.github.io⁠⁠

Follow us at

• ⁠⁠Youtube⁠⁠
• ⁠⁠LinkedIn⁠⁠
• ⁠⁠Bluesky⁠⁠
• ⁠⁠X (Twitter)