Takashi Izumo
Papers
1
Total Citations
11
H-Index
1
About
Takashi Izumo is a leading voice in the ethics of artificial intelligence, with a focused research agenda on the moral and practical implications of explainable AI (XAI). His most-cited work, "Coarse ethics: how to ethically assess explainable artificial intelligence" (2021), has garnered 11 citations and stands as a foundational contribution to the field. In this paper, Izumo critically examines the integration of AI into human society, arguing that for machines to be truly trustworthy, their decision-making must be human-interpretable—a principle he traces back to Asimov’s Three Laws of Robotics. Rather than simply cataloguing XAI models, Izumo proposes a "coarse ethics" framework, offering a pragmatic, high-level rubric for evaluating the ethical adequacy of AI explanations. This work bridges the gap between technical XAI development and normative ethics, providing researchers and policymakers with a practical tool for assessing whether an AI system’s transparency meets societal standards. Izumo’s scholarship is essential reading for anyone grappling with the challenge of making intelligent machines both accountable and comprehensible, cementing his reputation as a critical thinker at the intersection of technology and moral philosophy.
Research Focus
Key Achievements
Top Papers
- 1Coarse ethics: how to ethically assess explainable artificial intelligence11 citations · 2021