Whose Good, Whose Place? The Moral Geography of Agentic AI for Social Good
The article discusses the moral geography of agentic AI systems proposed for social good. It highlights a lack of accountability to the communities these systems aim to serve, with many papers failing to specify geographic context. The authors identify accountability gaps and suggest a reporting standard for more context-specific AI applications.
- ▪A survey of 112 papers on agentic AI for social good reveals a significant lack of geographic context in the research.
- ▪73% of the surveyed papers do not specify any geographic context, particularly in domains where local factors are crucial.
- ▪Only 25% of the papers report real-world deployment or testing of the proposed AI systems.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.22995 |
| Publication time | Mon, 25 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-25T04:07:35.648Z |
| Last seen | 2026-05-25T04:07:35.648Z |
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| Summary source text | contentText |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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Computer Science > Computers and Society arXiv:2605.22995 (cs) [Submitted on 21 May 2026] Title:Whose Good, Whose Place? The Moral Geography of Agentic AI for Social Good Authors:Poli Nemkova, Haeshitha Indukuri, Jaedon Charles View a PDF of the paper titled Whose Good, Whose Place? The Moral Geography of Agentic AI for Social Good, by Poli Nemkova and 2 other authors View PDF HTML (experimental) Abstract:Agentic AI systems are increasingly proposed for social-good domains, often invoking the United Nations Sustainable Development Goals (SDGs) as a vocabulary of global benefit. Yet claims of social good do not establish accountability to the communities a system claims to serve. We present a structured survey of 112 papers on agentic AI for social good published between 2015 and 2026.
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