DAY1044 Solutions, a small business cybersecurity and AI consulting firm, supports the proposed GSAR clause regarding data safeguarding in LLMs. They recommend specific revisions to ensure that compliance obligations are realistically achievable for small businesses, specifically by aligning requirements with the roles of system integrators and commercial market standards.

Tolu Adegbite, a researcher at OCAD University, supports the proposed GSAR clause but argues it fails to address cognitive accessibility for neurodivergent users. The commenter recommends requiring cognitive accessibility standards, vendor disclosures, and human fallback pathways as conditions for federal LLM AI procurement.

Rohan Sharma, an AI policy expert, supports the proposed GSA framework for safeguarding data within LLMs but proposes specific technical modifications. He argues for clarifying rules on exceptional human access for troubleshooting, establishing a 72-hour window for emergency cybersecurity notifications, and anchoring AI bias liability to objective benchmarks like the NIST AI RMF.

The commenter, a doctoral fellow and research associate at two universities, argues that the proposed "Unbiased AI Principles" are technically unworkable and conceptually flawed because "neutrality" cannot be operationalized as an engineering target. They advocate for replacing the requirement for neutrality with a disclosure requirement that forces contractors to document their editorial and design choices instead of attempting to suppress them.