In the latest in their blog series on the “nuts and bolts” of AI for legal professionals, Cimplifi discusses how bias can influence AI!
Their post titled (wait for it!) How Bias Can Influence AI (available here) discusses examples of how bias can influence AI results and how AI algorithms are used, defines sources of bias that can be associated with AI, and discusses mechanisms for legal professionals to address the challenge of bias in AI algorithms.
One example of an AI algorithm where indications of bias occurred was the risk-assessment software COMPAS (Correctional Offender Management Profiling for Alternative Sanctions), which was used to make sentencing recommendations, even though it wasn’t designed for that – it was originally designed to provide insight into the types of treatment (e.g., drug or mental health treatment) an offender might need. An article by Pro Publica reported that COMPAS was twice as likely to classify black defendants as high-risk and vice versa with white defendants as low risk.
So, are three sources from which bias can influence AI? And what are two interrelated mechanisms within the U.S. legal system that a court can consider before it accepts or admits evidence? Find out here, it’s only one click! I may be biased, but it’s a great article! 😉
So, what do you think? Are you excited to learn about the nuts and bolts of AI? Please share any comments you might have or if you’d like to know more about a particular topic.
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