Concern 719 · Working draft · editorial review in progress
Systemic-risk correlations
Correlated AI failure is a systemic risk when many organizations rely on similar models, data or providers and therefore make related mistakes at the same time.
Understanding the concern
A single firm's risk model may appear sensible on its own. If many firms use closely related systems, they may all miss the same warning or respond in the same way. Shared service outages can also affect many institutions together. Diversity on paper may hide dependence on the same underlying tools.
The Financial Stability Board identifies common providers and market correlations among AI-related vulnerabilities. This differs from one trading strategy moving prices: it concerns the resilience of a connected financial system. Think of several buildings using the same faulty foundation design. Each owner needs to understand both their own safeguards and the dependencies they share with others.
An example
Several lenders tighten credit together because their related models interpret the same flawed signal as a rise in risk.
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
The FSB describes potential systemic vulnerabilities. It does not establish that a particular financial crisis was caused by AI or that similar models always fail together.
Financial Stability Board 2024 · Financial stability report
The Financial Stability Implications of Artificial Intelligence ↗ (opens in a new tab)Shared providers, correlated models and other systemic vulnerabilities. Risk assessment, not proof of an AI-caused global crisis.
Broader frameworks and background
These resources provide context. They do not establish every claim in this concern.
A question to discuss
Which models, data sources and providers are shared across institutions, and what happens if that common dependency fails?
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.
Seeing potential
Seeing potential means recognizing people's capacity to learn, contribute, and grow. It resists reducing someone to a score or to the tasks a machine can perform faster.
Use tools to support people's development. Give learners time, feedback, and real opportunities to practice. A prediction about someone's performance should not close off their future.
Ask together: How could this help people develop abilities they value?
Solidarity
Solidarity means standing with people whose lives are affected, especially when they have less power to protect their interests. It turns concern into a willingness to share responsibility.
Include affected people in decisions and support practical remedies when something goes wrong. Do not leave the cost of learning or repair entirely with those who were harmed.
Ask together: What would it mean to stand with the people carrying the greatest burden?
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.
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