University of Cambridge > Talks.cam > Machine Learning and Machine Intelligence MPhil List > Promises and Challenges in Trustworthy Machine Learning Deployment, with a Criminal Justice Case Study

Promises and Challenges in Trustworthy Machine Learning Deployment, with a Criminal Justice Case Study

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The criminal justice (CJ) system has embraced the use of algorithmic tools. They are employed as decision aids, from policing to parole decisions. This may bring benefits such as improved efficiency and consistency, but also raises many concerns. We will discuss the gap between the promised benefits and what is happening in practice, highlighting challenges around data, ethics, and regulation.

This talk is part of the Machine Learning and Machine Intelligence MPhil List series.

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