Relational Artificial Intelligence
Virginia Dignum

TL;DR
This paper advocates for a relational perspective on AI, emphasizing societal, ethical, and cultural considerations over purely rational approaches, and explores integrating diverse philosophies like Ubuntu into AI governance.
Contribution
It introduces a relational framework for AI that incorporates social, ethical, and cultural dimensions, contrasting it with traditional rational approaches.
Findings
Relational AI emphasizes societal and ethical implications.
Current AI governance often overlooks relational and cultural factors.
Integrating philosophies like Ubuntu can enhance responsible AI development.
Abstract
The impact of Artificial Intelligence does not depend only on fundamental research and technological developments, but for a large part on how these systems are introduced into society and used in everyday situations. Even though AI is traditionally associated with rational decision making, understanding and shaping the societal impact of AI in all its facets requires a relational perspective. A rational approach to AI, where computational algorithms drive decision making independent of human intervention, insights and emotions, has shown to result in bias and exclusion, laying bare societal vulnerabilities and insecurities. A relational approach, that focus on the relational nature of things, is needed to deal with the ethical, legal, societal, cultural, and environmental implications of AI. A relational approach to AI recognises that objective and rational reasoning cannot does not…
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Taxonomy
TopicsEthics and Social Impacts of AI
