Concern 811 · Working draft · editorial review in progress
Sectoral regulation (finance, health, transport)
Sector-specific AI regulation applies the rules of fields such as health, finance and transport to AI uses; the concern is whether those rules fit the system's actual role and changing behavior.
Understanding the concern
A medical device, a bank model and an aircraft safety system can all use AI while facing very different approval and oversight processes. A generic claim of responsible AI does not replace those requirements. The organization must understand the decision being supported, the consequences of error and the authority responsible for supervision.
Official medical-device, banking and aviation guidance illustrate these differences. Their scopes are not interchangeable, and some exclude particular types of AI. Think of a driver's license: permission to drive one vehicle does not qualify someone to operate every machine. A model update or new use may also require a fresh assessment rather than relying on an old approval.
An example
A company markets a general-purpose model as ready for a clinical use without checking the relevant medical-device requirements.
Illustrative unless identified as a documented case.
Words in plain English
- AI
- Software that learns patterns from examples or uses rules to perform tasks such as recognizing images or generating text. It can make mistakes and does not understand every situation as a person would.
- Model
- The learned part of an AI system. It uses patterns found during training to produce an answer or prediction.
Evidence and its limits
These sources have different scopes. In particular, the cited banking model-risk guidance should not be treated as covering every generative or agentic AI system.
US Food and Drug Administration · August 2025 · Final guidance
Marketing Submission Recommendations for a Predetermined Change Control Plan for Artificial Intelligence-Enabled Device Software Functions ↗ (opens in a new tab)Recommendations for specified planned changes, methods and impact assessment. Not permission for unrestricted self-modification.
Federal Reserve, FDIC and OCC · April 2026 · Official supervisory guidance
Supervisory Guidance on Model Risk Management: SR 26-2 attachment ↗ (opens in a new tab)Replaces prior guidance; explicitly excludes generative and agentic AI models from scope and does not set enforceable standards by itself.
Federal Aviation Administration · Technical roadmap
Roadmap for Artificial Intelligence Safety Assurance, Version I ↗ (opens in a new tab)2024 approach to assessing AI in aviation; not proof of deployed autonomous air traffic control.
Broader frameworks and background
These resources provide context. They do not establish every claim in this concern.
A question to discuss
Which sector's rules apply to this specific use, and what changes would require a new assessment?
Keep track of different views, what needs checking, and any next step in your own discussion notes.
Open discussion notes →Principles for the conversation
Before you finish · reflect together
Virtues and principles to consider
Virtues are qualities we practice in how we treat people and make choices. They are not scores for judging someone. Use these ideas to explore what a thoughtful response could look like.
Accountability
Accountability means being answerable for decisions and taking responsibility for repair. It requires more than saying that the software made the choice.
Name the person or team responsible, keep useful records, and give them authority to correct problems. Make the route to a complaint clear to the people affected.
Ask together: Who will answer for the outcome and help put things right?
Prudence
Prudence means using careful judgment before and during action. It balances worthwhile opportunities with the need to avoid harm that could have been anticipated.
Start with a limited trial, set stopping points, and prefer choices that can be undone when uncertainty is high. Review what happens rather than assuming the original plan remains sound.
Ask together: What is a careful next step, and when should we stop or change course?
Unity
Unity means working toward shared purposes while making room for real differences. It does not require everyone to have the same experience, beliefs, or opinion.
Look for a goal people can share, then explore disagreements about how to reach it. Make sure quieter or less powerful voices can influence the result.
Ask together: What purpose can we share while respecting our differences?
Editorial ratings
These are editorial judgments from the register, not measured probabilities or predictions about your situation.
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