Concern 865 · Working draft · editorial review in progress

Contractual risk-shifting to buyers

Contractual risk-shifting occurs when an AI agreement assigns costs, legal defense duties or limits on compensation between the provider and the buyer.

Understanding the concern

A contract can promise help with some third-party claims while excluding others. It can also cap damages or place duties on the customer concerning uploaded data and permitted use. These details matter because a marketing promise of protection may sound broader than the signed agreement.

Anthropic's commercial terms provide one example of mutual duties, exclusions and liability limits. Other contracts differ. Think of borrowing equipment under an agreement that says who pays if it breaks or harms someone: the answer depends on the event and the clauses. A contract between two businesses also does not automatically erase the rights of someone harmed outside that agreement.

An example

A buyer assumes the provider will cover every legal claim, then learns that the disputed use falls within an exclusion.

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 an example from one provider's commercial terms checked in September 2026, not a review of every plan or a conclusion about enforceability in every jurisdiction.

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Broader frameworks and background

These resources provide context. They do not establish every claim in this concern.

A question to discuss

Who pays, defends or remedies each kind of failure under the actual agreement?

Keep track of different views, what needs checking, and any next step in your own discussion notes.

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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.

Justice

Justice means fair treatment, fair procedures, and attention to who receives benefits and burdens. It asks whether people with less power can be heard and seek repair.

Look at outcomes across different groups and individual cases. Provide a usable way to challenge decisions and correct harm. Equal wording in a policy does not guarantee equal treatment in practice.

Ask together: Who benefits, who bears the cost, and who can challenge the decision?

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?

Dignity

Dignity means recognizing each person's worth regardless of usefulness, status, or a system's score. People deserve respect and a voice in matters that affect them.

Explain important decisions, avoid humiliating treatment, and keep room for a person's story. Do not treat a prediction as a complete account of who someone is.

Ask together: Does this use treat each person as someone whose experience matters?

Editorial ratings

These are editorial judgments from the register, not measured probabilities or predictions about your situation.

Severity
Serious · 3/5
Likelihood
Documented · 3/5
Time horizon
Now
Register risk score
9
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