Ling TAN

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Ling Tan investigates the intersection of artificial intelligence and social equity, with a primary focus on fairness perceptions in AI-driven decision-making. Her work addresses one of the most pressing challenges of our time: how to harness AI to reduce inequality without perpetuating bias. In her highly cited 2022 paper, "Fairness perceptions of artificial intelligence decision-making," Tan systematically examines how individuals perceive the fairness of AI systems compared to human decision-makers, revealing critical insights into the psychological and social factors that shape trust in algorithmic governance. This foundational research has garnered 9 citations, establishing her as an emerging voice in the growing discourse on ethical AI. Tan's contributions are particularly significant for policymakers and technologists seeking to design equitable automated systems, as she highlights the nuanced ways that transparency, accountability, and context influence public acceptance. Her work serves as a vital bridge between technical AI development and the societal implications of its deployment, making her research essential reading for students and scholars interested in responsible innovation and the human dimensions of artificial intelligence.