• Using Role-Playing Scenarios to Identify Bias in LLMs

  • Sep 16 2024
  • Length: 45 mins
  • Podcast

Using Role-Playing Scenarios to Identify Bias in LLMs

Listen for free

View show details

  • Summary

  • Harmful biases in large language models (LLMs) make AI less trustworthy and secure. Auditing for biases can help identify potential solutions and develop better guardrails to make AI safer. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Katie Robinson and Violet Turri, researchers in the SEI’s AI Division, discuss their recent work using role-playing game scenarios to identify biases in LLMs.
    Show more Show less
Show more Show less
activate_Holiday_promo_in_buybox_DT_T2

What listeners say about Using Role-Playing Scenarios to Identify Bias in LLMs

Average customer ratings

Reviews - Please select the tabs below to change the source of reviews.

Audible.com reviews

Amazon reviews
No Reviews are Available