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Responsible AI practice linked to situated ethical and epistemic contexts

By PulseAugur Editorial · [1 sources] ·

This paper argues that the perceived gap between responsible AI principles and actual practice stems from the complex institutional and professional contexts in which AI is developed. Through interviews with individuals involved in anti-trafficking AI systems, the research highlights how epistemic choices, professional constraints, and institutional logics shape ethical judgments and actions. The authors propose that effective responsible AI governance necessitates robust epistemic infrastructures that can integrate knowledge from affected communities and make potential harms actionable in the design process. AI

IMPACT Highlights the need for better integration of ethical considerations into AI development processes by addressing systemic and professional constraints.

RANK_REASON Academic paper on AI ethics and practice. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Responsible AI practice linked to situated ethical and epistemic contexts

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Academic paper on AI ethics and practice. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Thao Do Ngoc, Emma Carmel ·

    Beyond the principle-practice gap: Responsible AI as situated epistemic and ethical practice

    arXiv:2611.06709v1 Announce Type: cross Abstract: Responsible AI scholarship has found that ethical principles are frequently not reflected in AI design and development. Conceptualised as a `gap' between principle and practice, this is framed as a problem of implementation, aware…

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