Concern 904 · Working draft · editorial review in progress
Sanctions risk
Sanctions risk arises when an AI service, transaction or relationship falls within trade restrictions that the organization has not properly checked.
Understanding the concern
Restrictions may depend on the parties, location, service and legal connection to a country, not just the product's label. A customer can also act through intermediaries, making the relevant relationship less obvious. Export controls on technology are related but are not identical to financial and trade sanctions.
OFAC's framework recommends a risk-based compliance program that changes with the business and rules. Think of checking whether a shipment is allowed before sending it, rather than assuming an online service has no borders. The key is an accountable process for current checks and uncertain cases. A static list copied into an AI policy can quickly become unreliable.
An example
A service accepts a new business customer without checking whether the actual transaction involves a restricted party or prohibited activity.
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.
Evidence and its limits
This is a general compliance concern, not advice about a particular transaction. Restrictions, exceptions and licenses are time-sensitive and require current authoritative checks.
US Treasury OFAC · Compliance framework
A Framework for OFAC Compliance Commitments ↗ (opens in a new tab)Risk-based sanctions compliance principles. Actual prohibitions, licenses and exceptions require current transaction-specific rules; this document does not classify a particular AI sale.
Broader frameworks and background
These resources provide context. They do not establish every claim in this concern.
- NIST AI RMF (opens in a new tab)
framework
- ISO/IEC 42001 (opens in a new tab)
standard
A question to discuss
What current rules apply to the parties and service, and who resolves uncertainty before access is provided?
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.
Trustworthiness
Trustworthiness means giving people good reasons to rely on you. It grows when promises, actions, and evidence line up. With AI, a friendly voice or a famous brand is not enough: people need to know what was checked and what could still go wrong.
In practice, keep promises small enough to test, record mistakes, and tell people when the tool's limits affect them. If a service promises human review, make sure a person really has time and authority to review it.
Ask together: What would give the people affected a sound reason to trust this use?
Stewardship
Stewardship means caring for resources and systems that others depend on, including people who will use them later. It looks beyond the benefit of a quick launch.
Plan for maintenance, energy use, data protection, and eventual shutdown. Ask who will look after the tool when the original team moves on and how future users can avoid inheriting hidden costs.
Ask together: What are we responsible for caring for over time?
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?
Editorial ratings
These are editorial judgments from the register, not measured probabilities or predictions about your situation.
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