Earn confidence through reviewable decisions.

Assign responsibility before a consequential decision

People and institutions remain responsible for the actions they authorize. A proposal should identify who produces a report, verifies its basis, permits disclosure, decides on a response, communicates publicly, and reviews the result.

These responsibilities may sit in different organizations. The record should let a reviewer reconstruct how an observation became a decision and identify where uncertainty was resolved, retained, or ignored.

An urgent exception needs a stated purpose, a time limit, and later scrutiny. Emergency use should not become a permanent expansion of access by default.

Evaluate the added value

Use the same evidence and physical resources to compare current practice, an improved non-AI workflow, and the proposed AI-supported workflow. This makes it easier to distinguish a software contribution from better staffing or better procedures.

Measure the civilian result alongside cost, unnecessary action, missed risks, rights impacts, and operational dependence. Full lifecycle cost includes integration, verification, training, maintenance, independent evaluation, and withdrawal.

An evaluation should be able to conclude that a simpler process performs better. That finding can save resources and strengthen the credibility of later decisions.

Conditions for continuation

• A reviewer can trace material outputs to the source records and reproduce the relevant assessment.
• Information access and retention remain within the agreed purpose.
• Human approval is meaningful and the correction process works in practice.
• Fallback and withdrawal tests demonstrate continued independent operation.
• Benefits justify the full cost without exceeding preset limits for harm or disclosure.

Related public-policy discussion

On 15 May 2024, the bipartisan Senate AI working group comprising Mike Rounds, Charles Schumer, Martin Heinrich, and Todd Young released a policy roadmap. The announcement described recommendations on innovation, safety, accountability, and matters for committee consideration. Read the roadmap announcement.

The roadmap provides dated context for an AI-policy conversation. It does not mention or endorse Safe Nations, and a recommendation is not a demonstrated outcome. The evaluation conditions on this page are Safe Nations’ own proposed requirements.