A Human Rights-Based Approach to Responsible AI
Vinodkumar Prabhakaran, Margaret Mitchell, Timnit Gebru, Iason Gabriel

TL;DR
This paper advocates for using universal human rights as a normative framework to guide responsible AI development, emphasizing human-centered values over machine-centric biases.
Contribution
It proposes a human rights-based approach to align AI ethics with globally recognized values, enhancing civil society participation and addressing harms to human rights.
Findings
Aligns AI ethics with universal human rights principles
Shifts focus from machine biases to human rights harms
Supports civil society engagement in responsible AI
Abstract
Research on fairness, accountability, transparency and ethics of AI-based interventions in society has gained much-needed momentum in recent years. However it lacks an explicit alignment with a set of normative values and principles that guide this research and interventions. Rather, an implicit consensus is often assumed to hold for the values we impart into our models - something that is at odds with the pluralistic world we live in. In this paper, we put forth the doctrine of universal human rights as a set of globally salient and cross-culturally recognized set of values that can serve as a grounding framework for explicit value alignment in responsible AI - and discuss its efficacy as a framework for civil society partnership and participation. We argue that a human rights framework orients the research in this space away from the machines and the risks of their biases, and towards…
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Taxonomy
TopicsEthics and Social Impacts of AI · Psychology of Moral and Emotional Judgment
