Top Highlights

• increasingly turning to artificial intelligence (AI) systems and machine learning algorithms to automate simple and complex decision-making processes.
• While algorithms are used in many contexts, we focus on computer models that make inferences from data about people, including their identities, their demographic attributes, their preferences, and their likely future behaviors, as well as the objects related to them.[
• Algorithms are harnessing volumes of macro- and micro-data to influence decisions
• In machine learning, algorithms rely on multiple data sets, or training data,
• However, because machines can treat similarly-situated people and objects differently, research is starting to reveal some troubling examples in which the reality of algorithmic decision-making falls short of our expectations.

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