Published July 7, 2025 | Version v1

Queering the ethics of AI

  • 1. Leiden University
  • 2. ROR icon Vrije Universiteit Brussel

Description

This book chapter delves into the pressing need to "queer" the ethics of AI to challenge and re-evaluate the normative suppositions and values that underlie AI systems. The chapter emphasizes the ethical concerns surrounding the potential for AI to perpetuate discrimination, including binarism, and amplify existing inequalities due to the lack of representative datasets and the affordances and constraints depending on technology readiness. The chapter argues that a critical examination of the neoliberal conception of equality that often underpins non-discrimination law is necessary and cannot stress more the need to create alternative interdisciplinary approaches that consider the complex and intersecting factors that shape individuals' experiences of discrimination. By exploring such approaches centering on intersectionality and vulnerability-informed design, the chapter contends that designers and developers can create more ethical AI systems that are inclusive, equitable, and responsive to the needs and experiences of all individuals and communities, particularly those who are most vulnerable to discrimination and harm.

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Additional details

Funding

European Research Council
Towards Evidence-based Policies for Safe and Sound Robots: Harnessing experimentation to optimize the regulatory framing of healthcare robot technologies European Union's Horizon-ERC program, Grant Agreement No. 101076929.