Attachment K.8 DRD 5- LLM Transparency

1. DRD Title:

Large Language Model (LLM) Transparency

2. DRD No.: 005

3. Data Type: 2

5. Solicitation No.:

80GSFC27R0018

7. Date Issued: March 2026

6. Contract No.:

8. Date Revised: N/A

4. OPR: OCIO

9. DRD Category:

Technical
☐
Administrative ☒
S&MA
☐

10. Description/Use: To ensure that large language models (LLMs) and other artificial intelligence (AI) models comply with Unbiased Artificial Intelligence (AI) Principles. 11. Distribution: Initial submission with proposal. All subsequent deliverables required by this DRD must be submitted electronically to the contracting officer, contracting officer’s representative, and NASA’s Chief Artificial Intelligence Officer (CAIO) at [email protected], or as otherwise directed by the contracting officer. Initial Submission:
The initial submission of this DRD is material to eligibility for award.

Submission Frequency: Content section 1 (Minimum Threshold for LLM Transparency) and if applicable, section 2 (Threshold for Enhanced LLM Transparency), must be updated annually after initial submission and when new LLM or other AI models are introduced in contract performance. Content section 3 (Noncompliant Output Reporting) must be delivered annually by June 30.
Format: Unless otherwise directed, the data requested in this DRD must be delivered to the Government in an electronic format readable by a Government device utilizing the standards in NASA-STD-2804, “Minimum Interoperability Software Suite.”

Interrelationship:
Applicable Documents:
Executive Order 14319, Preventing Woke AI in the Federal Government OMB Memorandum M-26-04, Increasing Public Trust in Artificial Intelligence Through Unbiased AI Principles Definitions:
LLM: Executive Order (E.O.) 14319, Preventing Woke AI in the Federal Government, defines LLM to mean “a large language model, which is generative AI model trained on vast, diverse datasets that enable the model to generate natural-language responses to user prompts.”
Unbiased AI Principles: OMB Memorandum M-26-04, Increasing Public Trust in Artificial Intelligence Through

Rev.: 03/2026

Unbiased AI, identifies the following two Unbiased AI Principles: (1) Truth-seeking:
LLMs must be truthful in responding to user prompts seeking factual information or analysis. LLMs must prioritize historical accuracy, scientific inquiry, and objectivity, and must acknowledge uncertainty where reliable information is incomplete or contradictory.
(2) Ideological Neutrality:
LLMs must be neutral, nonpartisan tools that do not manipulate responses in favor of ideological dogmas.