Ethical Frameworks for AI Development

Somendra Narayan ()
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Somendra Narayan: University of Amsterdam

Chapter Chapter 6 in The Bridgerton Paradox in Artificial Intelligence, 2025, pp 55-63 from Springer

Abstract: Abstract Building on previous discussions, this chapter proposes actionable moral structures to guide AI design. It reviews key principles—transparency, explainability, fairness, and accountability—and frames them as evolving, relational concepts. The chapter rejects one-size-fits-all metrics, emphasizing that fairness evolves over time and across cultural contexts. It urges a participatory design process, calling for collaboration with historians, ethicists, and affected communities. Through multi-layered accountability and flexible oversight, AI systems can align with societal values while adapting to evolving understandings of justice.

Keywords: Ethical AI frameworks; Transparency; Accountability; Participatory design; Relational ethics (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-99493-7_6

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DOI: 10.1007/978-3-031-99493-7_6

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