What the DOE generative AI policy asks of the person using the tool

I was writing a short post about the US Department of Energy policy on the use of generative AI. The document is DOE P 203.1, it was released in December 2025, and it is the first standalone policy the department has on these tools.11DOE P 203.1, Use of Generative Artificial Intelligence. Purpose and scope (pp. 1 to 2) for who it applies to and the exclusions; section B, Operational requirements for use (pp. 3 to 5), for human accountability and oversight, labeling and transparency, validation and verification, data provenance and training; section C (pp. 5 to 6) for high-impact use cases and the 2 April 2026 date. It is six pages. I uploaded the document to Claude and had it analyze it and lay it out visually, so I could understand it first and then write about it.

The first picture it made was full of text, and I thought people would rather read the original than read that. So I decided to highlight only the core principle and who it applies to. I wrote the principle myself, close to the wording of the policy: GenAI tools are intended to augment, not replace, human decision-making; users bear ultimate responsibility for the accuracy, completeness and appropriateness of all GenAI-generated outputs. The policy has a qualifier at the end that I left off, which is outputs used or relied upon for DOE work.11DOE P 203.1, Use of Generative Artificial Intelligence. Purpose and scope (pp. 1 to 2) for who it applies to and the exclusions; section B, Operational requirements for use (pp. 3 to 5), for human accountability and oversight, labeling and transparency, validation and verification, data provenance and training; section C (pp. 5 to 6) for high-impact use cases and the 2 April 2026 date.

Then a stronger line came up, something like “you own every mistake”, and I tried it. Before using it I asked Claude exactly where the document says that, so I could verify it myself. The policy says users bear ultimate responsibility for the outputs they use or rely on. It does not talk about mistakes or blame, and it ties the amount of checking to the risk and to what the output is used for.11DOE P 203.1, Use of Generative Artificial Intelligence. Purpose and scope (pp. 1 to 2) for who it applies to and the exclusions; section B, Operational requirements for use (pp. 3 to 5), for human accountability and oversight, labeling and transparency, validation and verification, data provenance and training; section C (pp. 5 to 6) for high-impact use cases and the 2 April 2026 date.

Most of the six pages is governance, like who the Chief AI Officer is and how a high-impact use case gets approved. The part about the person using the tool is a little over half a page. It says the tools augment the decision and a person still makes it. It says the user is responsible for the accuracy, completeness and appropriateness of what they use or rely on, and should know the tools can produce inaccurate, biased or false information. It says a direct output with a legal or binding effect must be explicitly labeled as AI-generated. And it says the user must validate outputs in proportion to the risk and the intended use, which it describes as fact-checking, checking that the output fits the context, and checking for hallucinations.11DOE P 203.1, Use of Generative Artificial Intelligence. Purpose and scope (pp. 1 to 2) for who it applies to and the exclusions; section B, Operational requirements for use (pp. 3 to 5), for human accountability and oversight, labeling and transparency, validation and verification, data provenance and training; section C (pp. 5 to 6) for high-impact use cases and the 2 April 2026 date.

There are two more items in the data section that are about the user. The user is accountable for documenting data sources and what was done to the data, mainly when a tool generates synthetic data or adds to a dataset. And the cut-off date of the model has to be considered for any analysis that needs current information.11DOE P 203.1, Use of Generative Artificial Intelligence. Purpose and scope (pp. 1 to 2) for who it applies to and the exclusions; section B, Operational requirements for use (pp. 3 to 5), for human accountability and oversight, labeling and transparency, validation and verification, data provenance and training; section C (pp. 5 to 6) for high-impact use cases and the 2 April 2026 date.

In my post I wrote that anyone using GenAI tools for DOE work is personally responsible for whatever it produces, and in the picture I added that it applies if you use the tools at a DOE facility. Then I read the scope again, and it is narrower than that. It governs the department’s own elements and their staff. For contractors it says the use of these tools stays governed by existing policies. It does not apply to recipients of financial assistance from the department unless stated otherwise, it does not apply to using generative AI to carry out basic or applied research, and it does not cover national security systems.11DOE P 203.1, Use of Generative Artificial Intelligence. Purpose and scope (pp. 1 to 2) for who it applies to and the exclusions; section B, Operational requirements for use (pp. 3 to 5), for human accountability and oversight, labeling and transparency, validation and verification, data provenance and training; section C (pp. 5 to 6) for high-impact use cases and the 2 April 2026 date. So as I read it, a university group working on a DOE grant is not covered, and my line was wider than the policy.

The labeling part is also narrower than I first put it. I wrote that the policy requires labeling anything AI-generated that has legal or binding effect, and that is the one explicit mandate it gives. Otherwise it says it strongly favors transparency. It does not ask for a label on every paragraph an assistant helped with.11DOE P 203.1, Use of Generative Artificial Intelligence. Purpose and scope (pp. 1 to 2) for who it applies to and the exclusions; section B, Operational requirements for use (pp. 3 to 5), for human accountability and oversight, labeling and transparency, validation and verification, data provenance and training; section C (pp. 5 to 6) for high-impact use cases and the 2 April 2026 date.

I think this policy will be adopted more and more as an AI usage guide in academia and industry. Every organization is working out its internal AI guidelines right now, and the governance, data handling and IP rules in it are transferable. I cannot show that this will happen, it is what I think.

I only read the policy, not the other DOE orders it points to, and I am not a lawyer. Some parts of it were still to come when I read it. It says mandatory training requirements will come within six months of the release, and the requirements for high-impact uses take effect on 2 April 2026.11DOE P 203.1, Use of Generative Artificial Intelligence. Purpose and scope (pp. 1 to 2) for who it applies to and the exclusions; section B, Operational requirements for use (pp. 3 to 5), for human accountability and oversight, labeling and transparency, validation and verification, data provenance and training; section C (pp. 5 to 6) for high-impact use cases and the 2 April 2026 date.

Footnotes

1. DOE P 203.1, Use of Generative Artificial Intelligence. Purpose and scope (pp. 1 to 2) for who it applies to and the exclusions; section B, Operational requirements for use (pp. 3 to 5), for human accountability and oversight, labeling and transparency, validation and verification, data provenance and training; section C (pp. 5 to 6) for high-impact use cases and the 2 April 2026 date. ↩ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶ ↩⁷ ↩⁸