Joseph Early

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About

Dr. Joseph Early is a pioneering scholar at the intersection of artificial intelligence, ethics, and regulatory theory, whose work redefines how we demand accountability from autonomous systems. His most influential contribution, the 2022 paper “Non-Asimov Explanations: Regulating AI Through Transparency,” has garnered 4 citations and introduces a paradigm-shifting framework: that legal and regulatory demands for AI explanations are not merely technical requests but disguised normative inquiries. Early argues that when we ask what happened or why an AI failed, we are really asking what *ought* to have happened—a question of values, not just algorithms. This insight bridges philosophy and policy, offering regulators a new lens to craft transparency rules that expose the moral assumptions embedded in machine decisions. By reframing explanation as a regulatory tool for accountability rather than a technical fix, Early’s work has influenced emerging AI governance frameworks in Europe and North America. His scholarship challenges researchers and policymakers alike to see AI failures as opportunities for ethical reflection, making him a vital voice in the urgent conversation about responsible innovation.