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Organizations are rapidly integrating artificial intelligence into high-stakes decision-making processes previously handled exclusively by human experts. These automated systems are now being deployed across diverse sectors, including recruitment, lending, healthcare, and public administration.

As AI assumes these critical roles, a central challenge has emerged regarding accountability. Specifically, employees and organizations face difficult questions about liability and responsibility when automated systems generate flawed or consequential decisions.