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Ethical Frameworks for AI Development

In: The Bridgerton Paradox in Artificial Intelligence

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  • Somendra Narayan

    (University of Amsterdam)

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.

Suggested Citation

  • Somendra Narayan, 2025. "Ethical Frameworks for AI Development," Springer Books, in: The Bridgerton Paradox in Artificial Intelligence, chapter 0, pages 55-63, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-99493-7_6
    DOI: 10.1007/978-3-031-99493-7_6
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