AI Frontiers: Measuring and mitigating harms with Hanna Wallach

In this podcast episode of AI Frontiers, Partner Research Manager, Hanna Wallach, describes her research into fairness, accountability, transparency, and ethics in AI and machine learning, and how it informs the use of AI in Microsoft products and services. Wallach and her team of applied scientists have expanded their tools for measuring fairness-related harms in AI systems to address harmful content more broadly during their involvement in the deployment of Bing Chat. She also discusses the technique of filtering, which helps in mitigating harms that are not often talked about. Additionally, Wallach talks about the cross-company collaboration that brings policy, engineering, and research together to evolve and execute the Microsoft approach to developing and deploying AI responsibly. This podcast explores the implications of the latest advancements in artificial intelligence, touching upon Microsoft's approach to creating, understanding, and deploying AI, its applications in various fields, and its potential to benefit humanity.

In conclusion, this podcast offers valuable insights into the responsible development and deployment of AI, particularly in the context of fairness, accountability, transparency, and ethics. It is worth a listen for anyone interested in exploring the latest advancements in AI and their implications for our society.

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Microsoft AI: Responsible AI Principles and Approach  

AI and Microsoft Research

The original post can be accessed on the podcast site of Microsoft Research.