OECD AI Principles
Ethotechnics-style critique of the OECD AI Principles and principles-based responsible AI programs.
Ethotechnics read
Failure-mode diagnostics
Principles do not automatically create stop authority, clocks, or rollback guarantees.
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Key sections
Overview
What they are
Values-based principles and recommendations adopted by governments and industry.
OECD AI Principles are intentionally flexible, values-oriented guidelines that governments and organizations adopt to shape “responsible AI” programs.
Ethotechnics critique
Where the principles fall short
- Non-binding by design: Accountability becomes interpretive, and almost any program can claim alignment after harm.
- No allocation of power: The principles rarely specify who can halt a system, under what triggers, or on what clock.
- Intervention without mechanism: “Human intervention where necessary” gestures at action but does not require tested stop paths, restoration SLAs, or bounded pending states.
Failure mode
Legible virtue + unstoppable systems
Good narratives and training without reliable brakes.
The dominant failure mode is a system that sounds responsible on paper yet cannot be interrupted quickly when harm emerges.
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Cite this page Formats: APA, MLA, Chicago, BibTeX, RIS
APA
Ethotechnics Standards Working Group. (2025). OECD AI Principles. Ethotechnics Institute. https://ethotechnics.org/standards/oecd-ai-principles
MLA
Ethotechnics Standards Working Group. "OECD AI Principles." Ethotechnics Institute, 2025, https://ethotechnics.org/standards/oecd-ai-principles.
Chicago
Ethotechnics Standards Working Group. "OECD AI Principles." Ethotechnics Institute. Jun 1, 2025. https://ethotechnics.org/standards/oecd-ai-principles.
BibTeX
@misc{ethotechnics_standards_oecd_ai_principles,
title={OECD AI Principles},
author={Ethotechnics Standards Working Group},
year={2025},
howpublished={Ethotechnics Institute},
url={https://ethotechnics.org/standards/oecd-ai-principles},
version={Draft}
}
RIS
TY - WEB TI - OECD AI Principles AU - Ethotechnics Standards Working Group PY - 2025 UR - https://ethotechnics.org/standards/oecd-ai-principles ER -