Artificial Intelligence and Ethics in Academia

Abstract

This chapter explores the complex intersection of AI and academic ethics through a multidisciplinary lens, incorporating perspectives from law, international relations, philosophy of science, computer science, and the social sciences. It outlines how AI is reshaping every stage of the research continuum—from hypothesis generation to scholarly dissemination—while considering the broader socio-political context of these changes. The discussion highlights central ethical issues, including authorship, algorithmic opacity, bias, privacy, and unequal distribution of resources, and reviews evolving governance frameworks implemented by leading academic institutions. Despite adopting a level of scholarly rigor suitable for an interdisciplinary audience, this text emphasizes clarity and engagement, weaving empirical examples and case studies—such as the rapid rollout of AI tools during the COVID-19 pandemic—into its analysis.

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