Artificial Intelligence and Human Systems Decision Making Essay

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Should Artificial Intelligence (AI) Take Over the Decision-Making Process?

Artificial intelligence (AI) is increasingly being used in sensitive areas such as healthcare, the criminal justice system, and hiring processes. Courts today use AI systems to assess offenders’ risk of recidivism and the likelihood of flight for offenders awaiting trial. One such algorithm is the Arnold Foundation algorithm, which uses 1.5 million criminal cases to predict defendant’s behaviors during pretrial hearings (Zavrsnik, 2020). With such advancements, there is a growing debate on whether AI should fully replace human decision-making due to its ability to eliminate human bias. Sources have shown that contrary to popular belief, AI decisions are not always less biased than human systems.

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For instance, a 2016 investigation by ProPublica showed that data–driven AI used by courts to assess the risk of recidivism was biased against minorities and people of color (Silberg & Manyika, 2019). In the UK, a computer program that was used to determine which applicants would be invited for interviews into medical school was found to be biased against female applicants and those with non-European names (Silberg & Manyika, 2019). This text analyzes the potential causes of such biases in the use of AI and identifies what decision-making is likely to look like in the future.

Potential Causes of Bias in AI Use
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