L36 EXCERPTS -- exact text, checked against the official sources on 5 November 2026
Label: No AI.  These are short excerpts, not the full documents. Read the full
documents at the addresses below if you want context.
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A. OECD Recommendation of the Council on Artificial Intelligence
   (the OECD AI Principles). Adopted 22 May 2019, amended 3 May 2024.
   https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449

[O1] OECD 1.2 a)
"AI actors should respect the rule of law, human rights, democratic and human-centred values throughout the AI system lifecycle. These include non-discrimination and equality, freedom, dignity, autonomy of individuals, privacy and data protection, diversity, fairness, social justice, and internationally recognised labour rights."

[O2] OECD 1.3 (opening)
"AI Actors should commit to transparency and responsible disclosure regarding AI systems."

[O3] OECD 1.3 iii
"where feasible and useful, to provide plain and easy-to-understand information on the sources of data/input, factors, processes and/or logic that led to the prediction, content, recommendation or decision, to enable those affected by an AI system to understand the output, and,"

[O4] OECD 1.3 iv
"to provide information that enable those adversely affected by an AI system to challenge its output."

[O5] OECD 1.4 b)
"Mechanisms should be in place, as appropriate, to ensure that if AI systems risk causing undue harm or exhibit undesired behaviour, they can be overridden, repaired, and/or decommissioned safely as needed."

[O6] OECD 1.5 a)
"AI actors should be accountable for the proper functioning of AI systems and for the respect of the above principles, based on their roles, the context, and consistent with the state of the art."

[O7] OECD 1.5 b)
"To this end, AI actors should ensure traceability, including in relation to datasets, processes and decisions made during the AI system lifecycle, to enable analysis of the AI system’s outputs and responses to inquiry, appropriate to the context and consistent with the state of the art."

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B. NIST, Artificial Intelligence Risk Management Framework (AI RMF 1.0),
   NIST AI 100-1, January 2023.
   https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-1.pdf

[N1] NIST AI RMF 1.0, Part 1
"The Framework is intended to be voluntary, rights-preserving, non-sector-specific, and use-case agnostic, providing flexibility to organizations of all sizes and in all sectors and throughout society to implement the approaches in the Framework."

[N2] NIST AI RMF 1.0, section 3
"Characteristics of trustworthy AI systems include: valid and reliable, safe, secure and resilient, accountable and transparent, explainable and interpretable, privacy-enhanced, and fair with harmful bias managed."

[N3] NIST AI RMF 1.0, section 3
"When managing AI risks, organizations can face difficult decisions in balancing these characteristics. For example, in certain scenarios tradeoffs may emerge between optimizing for interpretability and achieving privacy. In other cases, organizations might face a tradeoff between predictive accuracy and interpretability."

[N4] NIST AI RMF 1.0, section 3.4
"Accountability presupposes transparency. Transparency reflects the extent to which information about an AI system and its outputs is available to individuals interacting with such a system – regardless of whether they are even aware that they are doing so."

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C. U.S. Department of Defense press release, "DOD Adopts Ethical
   Principles for Artificial Intelligence", 24 February 2020.
   (Optional third text.)
   https://www.defense.gov/News/Releases/Release/Article/2091996/dod-adopts-ethical-principles-for-artificial-intelligence/

[D1] Responsible
"DoD personnel will exercise appropriate levels of judgment and care, while remaining responsible for the development, deployment, and use of AI capabilities."

[D2] Equitable
"The Department will take deliberate steps to minimize unintended bias in AI capabilities."

[D3] Traceable
"The Department’s AI capabilities will be developed and deployed such that relevant personnel possess an appropriate understanding of the technology, development processes, and operational methods applicable to AI capabilities, including with transparent and auditable methodologies, data sources, and design procedure and documentation."

[D4] Reliable
"The Department’s AI capabilities will have explicit, well-defined uses, and the safety, security, and effectiveness of such capabilities will be subject to testing and assurance within those defined uses across their entire life-cycles."

[D5] Governable
"The Department will design and engineer AI capabilities to fulfill their intended functions while possessing the ability to detect and avoid unintended consequences, and the ability to disengage or deactivate deployed systems that demonstrate unintended behavior."

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COMPARISON GRID -- fill this in yourself

                              | OECD (A)   | NIST (B)   | DoD (C)
------------------------------+------------+------------+-----------
Who is addressed?             |            |            |
Obligation word (should,      |            |            |
  will, voluntary ...)?       |            |            |
Says a system can be switched |            |            |
  off or overridden? Where?   |            |            |
Says people affected can      |            |            |
  challenge an output?        |            |            |
Admits principles can         |            |            |
  conflict?                   |            |            |
