首页|Interdisciplinary Perspectives on the (Un)fairness of Artificial Intelligence
Interdisciplinary Perspectives on the (Un)fairness of Artificial Intelligence
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As AI becomes increasingly ingrained in societies worldwide, it shapes access to resources, opportunities, and social outcomes. Numerous examples have shown that it can also reinforce and perpetuate existing inequalities. Yet, AI also has the potential to enhance fairness. This special issue goes beyond simply analyzing these fairness-related challenges. Instead, it aims to provide deeper insights into solutions for mitigating bias and explores how AI can be harnessed to create fairer societies. Achieving this requires collaboration across academic disciplines, as AI fairness is not just a technical issue but one that is deeply connected to societal values and ethical considerations. The contributions in this issue highlight the importance of an interdisciplinary approach, demonstrating that fairness in AI cannot be understood in isolation from broader social, cultural, and historical contexts. It is not enough to evaluate AI systems based on present-day standards; we must also consider how societal values evolve over time. By doing so, we can ensure that AI systems are designed not only to address existing biases but also to anticipate and adapt to the changing needs of society, ultimately helping to build a more just and inclusive future.
Christopher Starke、Tobias Blanke、Natali Helberger、Sonja Smets、Claes de Vreese
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Amsterdam School of Communication Research, University of Amsterdam, Amsterdam, The Netherlands
Institute for Information Law, University of Amsterdam, Amsterdam, The Netherlands
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