Navigating Ethical Minefields: A Multi-Stakeholder Approach to Assessing Interconnected Risks in Generative AI Using Grey DEMATEL

Abstract

This research examines the interconnected ethical risks associated with generative artificial intelligence. Using a multi-stakeholder approach and the grey DEMATEL methodology, the authors analyze relationships among different AI risks and examine which risks have greater influence on AI deployment outcomes. The study focuses on issues related to generative AI, foundation models, responsible AI, and the challenges organizations face when evaluating interconnected ethical risks.

Description

A study of ethical risks associated with generative AI and foundation models. It uses a multi-stakeholder analytical approach to examine how different risks interact and influence responsible AI deployment.

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