Critical decisions are increasingly being made by artificial intelligence (AI) systems in high-stakes industries like health care, criminal justice and finance, ushering in a wave of ethical and legal concerns over how these systems can be implemented fairly. Now, a new study by a Penn State researcher and collaborators proposes a holistic theory of AI fairness while providing an applicable framework that organizations can use to manage this complicated issue.
Q&A: How can organizations improve fairness in automated AI systems?
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