Trustworthy AI and the logics of intersectional resistance.

Knowles, B., Fledderjohann, J., Richards, J. T., & Varshney, K. R. (2023). Trustworthy AI and the logics of intersectional resistance. FAccT '23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 172-182. https://doi.org/10.1145/3593013.3593986

This paper critiques the current framework for defining ‘trustworthy AI,’ arguing that it often reflects a privileged viewpoint, neglecting the valid distrust felt by marginalized groups. The authors emphasize that AI systems can reinforce structural violence and marginalization, constructing a digital underclass. They argue that public resistance to AI is a healthy response when AI perpetuates these harms. To address this, they propose reformulations of core AI principles—fairness, accountability, and transparency—that emphasize stewardship, care, openness, vulnerability, humility, and empowerment, aiming to make AI genuinely worthy of public trust.