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AI Models Necessary to Reduce Racism in Criminal Justice In The United States of America

Yudhiishbala V.

The goal was to ensure the AI model is accurate and free of skewed/biased data. Throughout this research project, three different regression models are looked at in order to narrow down the most accurate models.

As this project commenced, I first focused on gaining some general knowledge about the applications of Artificial Intelligence. As I went through this, I ended up choosing The main focus of this project was to figure out which kind of AI model is best for use in a court setting or the criminal justice system.The goal was to ensure the AI model is accurate and free of skewed/biased data. Throughout this research project, three different regression models are looked at in order to narrow down the most accurate models. This research found that the AI models that can provide the most accurate results are DecisionTreeRegressor, MLPRegressor, and BaggingRegressor. As this research project commenced, it was shown that the BaggingRegressor method enables programmers to train artificial intelligence systems to make decisions in the most accurate manner possible, with the margin of errors and biases decreasing by almost 82% from the MLPRegressor.

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Yudhiishbala V.
Ana Sofia Muñoz Valadez

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