Yannick Fernholz
Papers
1
Total Citations
3
H-Index
1
About
Yannick Fernholz is a researcher at the intersection of artificial intelligence, ethics, and human-centered technology. His work focuses on understanding how users perceive and prioritize ethical principles in AI systems—a critical yet underexplored dimension of responsible AI development. In his most-cited paper, "User-driven prioritization of ethical principles for artificial intelligence systems" (2024), Fernholz addresses the gap between theoretical AI ethics frameworks and the real-world values of end users. By empirically investigating how users rank principles such as transparency, fairness, accountability, and privacy, he provides actionable insights for designing AI systems that align with societal expectations. Though early in his career, his work has already garnered attention for its practical relevance, contributing to the growing discourse on participatory and inclusive AI governance. Fernholz’s research is particularly valuable for developers and policymakers seeking to build trust and safeguard against unintended harms. His contributions underscore the importance of grounding ethical AI in empirical evidence, ensuring that safeguards reflect the priorities of those most affected by these technologies.
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