Mengyi Wei

Papers

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About

Mengyi Wei is an emerging researcher whose work sits at the critical intersection of artificial intelligence and ethics, with a particular focus on understanding how AI-related harms manifest in real-world contexts. Her most recognized contribution examines AI ethics issues through empirical analysis of the AI Incident Database, offering evidence-based insights into the gap between theoretical AI ethics guidelines and their practical effectiveness. Wei argues that existing frameworks curated by governments and corporations often fall short due to their inherent vagueness, a finding with significant implications for policymakers and practitioners alike. This work has garnered 50 citations across two closely related publications from 2022 and 2023, reflecting strong and sustained interest from the research community. By grounding her analysis in documented real-world AI incidents rather than abstract principles, Wei's research offers a uniquely pragmatic lens for evaluating AI governance. Her scholarship is particularly valuable for students and researchers seeking to bridge the divide between AI ethics theory and practice, and her contributions are helping to sharpen the conversation around more actionable, accountable, and transparent AI regulation.