REVIEW 2 cited by
A Human Rights-Based Approach to Responsible AI
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original 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 humans and the risks to their rights, essentially helping to center the conversation around who is harmed, what harms they face, and how those harms may be mitigated.
Forward citations
Cited by 2 Pith papers
-
Impact Assessment Card: Communicating Risks and Benefits of AI Uses
In an online study of 235 people, a compact 'Impact Assessment Card' for AI systems outperformed a full written report on speed, email quality, usability, and preference.
-
Autonomy by Design: Preserving Human Autonomy in AI Decision-Support
AI decision support can erode domain-specific autonomy through opaque failures and unconscious value shifts, but socio-technical design patterns such as defeaters and positive friction can mitigate these risks.
Discussion (0). Continue with ORCID to comment.