As artificial intelligence (AI) systems become deeply embedded in corporate frameworks, responsibility and liability are increasingly strained. Automated models now influence hiring and risk management, often operating with a level of complexity that obscures clear lines of accountability. At the intersection of AI and corporate liability, questions arise over who bears responsibility when algorithmic systems cause harm. Rethinking responsibility requires reexamining ethical norms and governance structures to ensure that innovation does not outpace accountability in an era of intelligent automation. Rethinking Responsibility at the Intersection of AI and Corporate Liability explores the evolving landscape of business law as it responds to rapid technological advancement. It examines the legal frameworks that govern innovation and disruption. Covering topics such as AI, automation, and corporate liability, this book is an excellent resource for technology developers, business organizations, corporate organizations, policymakers, researchers, academicians, and graduate students.
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