Research
Compliance
Beyond the principle-practice gap: Responsible AI as situated epistemic and ethical practice
Key Insights
- 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 pr.
Cite this synthesis
DOI: 10.48550/arXiv.2611.06709 ↗
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@misc{ acaciacompliance-research-beyond-the-principle-practice-gap-responsible-ai-as-situated,
title = { Beyond the principle-practice gap: Responsible AI as situated epistemic and ethical practice },
author = { Leszek },
year = { 2026 },
doi = { 10.48550/arXiv.2611.06709 },
url = { http://arxiv.org/abs/2611.06709v1 },
note = {Summarized and classified by AcaciaFund}
}
TY - GEN TI - Beyond the principle-practice gap: Responsible AI as situated epistemic and ethical practice AU - Leszek PY - 2026 DO - 10.48550/arXiv.2611.06709 UR - http://arxiv.org/abs/2611.06709v1 ER -
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Overview
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 pr
Why It Matters
This item adds to the AML and compliance knowledge base. Practitioners can use it to stay current on Beyond the principle-practice gap: Responsible AI as situated epistemic and ethical practice, but should validate its claims against primary sources and more recent work before relying on it in production decisions.
Key Takeaways
- Understand how Beyond the principle-practice gap: Responsible AI as situated epistemic and ethical practice relates to AML and compliance workflows and controls.
- Assess evidence quality and freshness before acting on the findings.
- Use the tagged topics to connect this item to related content in the library.
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