The state of bias in LLM models today with Sarah Wyer

The next guest on our podcast for the AI week is Sarah Wyer, PhD Researcher of Bias in AI, LLMs. Her thesis focuses on identifying and mitigating gender and social class bias in large language models from an intersectional perspective. Sarah is passionate about diversity and enabling those from under-served backgrounds to develop a career in tech. She is a founding member of the Bias in AI research group (led by Prof Sue Black) and a Teaching Fellow in Computer Science at Durham University, she teaches computer science to students from under-served backgrounds at Durham University and is also a committee member of Durham University Women in Tech (DUWiT) and a Global Ambassador for WomenTech Network.

In this episode, we discuss Sarah’s background, how she got into AI, her current research in possible biases in LLM models, as well as her hopes and predictions for the future of AI and her own research.

Each week we are releasing an episode in the field of either Metaverse/Gaming, Web3/Crypto/Blockchain, AI or XR. In case we have an extra Tuesday in a month, we have a guest from the Creative industries. Tune in, there are more amazing guests and stories to come up in the future.

If you’d like to check her recent paper, please follow this link https://link.springer.com/article/10.1007/s43681-024-00641-0

To connect to Sarah:

LinkedIn: https://www.linkedin.com/in/sarahwyerai/

Twitter/X: https://x.com/wyersarah

Instagram: https://www.instagram.com/sarah.wyer/

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