Keri Grieman

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About

Keri Grieman is an emerging legal scholar whose research sits at the intersection of artificial intelligence, regulation, and transparency. Her work critically examines how legal frameworks can and should govern AI systems, with a particular focus on the explanatory demands that law places on technology when things go wrong. In her most notable paper, "Non-Asimov Explanations: Regulating AI Through Transparency" (2022), Grieman makes a sophisticated and original argument: that legal demands for explanation — questions about what happened and why — are not merely descriptive but fundamentally normative in nature. By reframing these questions as asking what *ought* to have occurred, she challenges conventional assumptions about how AI accountability is conceptualized in regulatory discourse. The paper has garnered 4 citations since publication, reflecting its early-stage but growing influence in a rapidly evolving field. Grieman's scholarship is particularly valuable for students and researchers navigating the complex challenges of AI governance, offering a philosophically grounded lens through which to critically evaluate existing and proposed regulatory approaches. Her work promises to become increasingly relevant as policymakers worldwide grapple with AI oversight.