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1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errorsStop acting on the output first. If an AI system gives advice or takes an action that could cause injury, financial loss, discrimination, privacy damage or another serious consequence, make the situation safe, obtain qualified human judgment, preserve a factual record and report the incident through the organization that operates the system. For immediate danger, use the appropriate emergency or sector-specific procedure rather than waiting for an AI provider to respond.
The right escalation depends on the harm, how quickly it could occur, who controls the system, the sector involved and the jurisdiction. There is no universal complaint form, deadline or remedy that applies to every AI system.
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1. Triage the risk before doing anything else
Read the output as an unverified suggestion, not an instruction or professional decision. Ask two questions: Could this cause serious harm? and Could harm occur before a human can check it? The answers determine your next move.
| Situation | First response | Why |
|---|---|---|
| Immediate risk of injury, death, self-harm or danger to others | Stop the activity if you can do so safely and follow local emergency or sector-specific procedures. | Safety takes priority over investigating the model or waiting for customer support. |
| Potentially serious medical, legal, financial, employment or safety decision | Do not rely on the output. Contact a qualified professional or authoritative source for an independent assessment. | A confident answer can still be wrong, incomplete or based on a misunderstanding of your facts. |
| Privacy, security or fraud exposure | Limit further disclosure, secure affected accounts or systems and notify the responsible security or fraud team. | Additional sharing can increase the damage or destroy useful evidence. |
| Low-stakes error with no apparent harm | Save the details, correct the information and report the quality or safety issue if a channel exists. | Minor incidents can reveal a recurring failure, but they do not require the same emergency response. |
NIST’s AI Risk Management Framework (AI RMF) treats risks involving serious injury or death as requiring the most urgent prioritization and the most thorough risk management. That principle is useful for individuals too: severity and immediacy matter more than whether the answer sounded plausible.
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2. Make the situation safe
Pause the action
Stop using the output for the decision at issue. Do not place a trade, transfer money, change medication, sign a legal document, deny someone a benefit or operate dangerous equipment solely because an AI system recommended it. If an automated workflow is still running, use the organization’s approved pause, override or shutdown control where you have authority to do so.
Protect people and property
For physical danger, move people away from the hazard only if doing so is safe and follow established emergency instructions. For an account or device compromise, disconnect or lock the affected access in accordance with your bank’s, employer’s or service operator’s procedures. Do not delete logs or reset everything before the responsible security team has advised you; those actions can remove evidence.
Use emergency channels when appropriate
An AI provider’s support queue is not an emergency service. If someone may be injured, is in immediate danger or needs urgent medical or crisis care, contact the appropriate local emergency service or qualified professional. The correct number and process depend on your country and situation.
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Human review is essential when an error could materially affect a person’s rights, health, safety or finances. UK Government guidance on data and AI ethics recommends human oversight, monitoring for unexpected behavior and retaining human control. It also says a system should not be used for a problem when it cannot be made sufficiently safe even with mitigations.
Financial decisions
If an AI answer recommends an investment, debt strategy, tax position, insurance choice or payment, verify it with a licensed adviser, accountant, tax authority, lender or other authoritative source appropriate to your country. Check the original account statements, terms and deadlines yourself. Treat promises of guaranteed returns, urgent transfers or secrecy as warning signs, especially when the system is connected to a sales or payment workflow.
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Medical, legal and employment decisions
Ask a qualified clinician, lawyer, benefits specialist or human decision-maker to review the facts and the proposed action. Provide the source documents rather than relying on an AI-generated summary. If an employer, insurer, lender or public body used AI in a consequential decision about you, request human review and an explanation where that option exists.
Safety-critical operations
Follow the written procedure for the equipment, facility or profession. An AI-generated workaround is not a substitute for a trained operator, engineer or safety officer who can inspect conditions directly.
4. Preserve a concise, factual record
A clear record helps a provider or organization reproduce the failure and helps you show what happened if a dispute follows. This is practical incident documentation, not a universal consumer form required in every country.
- Name the system, product or organization and, if visible, the model or version.
- Record the date and time, including the time zone when it matters.
- Save the relevant prompt, input, output and settings if doing so is safe and lawful.
- Note whether a person or automated process acted on the output, and what happened afterward.
- Describe actual or potential harm in specific terms: money transferred, deadline missed, data disclosed, person denied a service or hazard created.
- List witnesses, reference documents and the human professional who reviewed the result.
Minimize sensitive information. Redact account numbers, credentials, health details, children’s information and other personal data before sharing a screenshot or transcript. Keep the original securely if it may be needed for an authorized investigation. Do not repost harmful instructions or private conversations publicly merely to prove that they existed.
5. Report through the responsible route
Start with the operator
Use the provider’s available safety, support, abuse, security or complaint channel. Include the factual record, the risk, the action you took to contain it and what response you need. Ask whether the case has an incident number and whether a human safety reviewer will assess it.
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Contact the organization that used the AI
If a bank, employer, insurer, school, landlord, health service or government office used AI, report the issue to that organization as well as the technology provider. Ask for a human review, correction of the record and an explanation of how the decision was made when those rights or procedures are available.
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Escalate when the first route fails
Serious cases may warrant a qualified professional, an internal compliance or ethics office, a data-protection or consumer-protection authority, an industry regulator, law enforcement or emergency services. Which body is appropriate depends on your location, sector, the operator and the facts. Do not assume that a regulator in one country can handle an incident that occurred elsewhere.
| Route | Best used for | Information to request |
|---|---|---|
| Provider safety or support | Unsafe output, model failure, account misuse or a technical incident | Case number, containment action and human review |
| Organization’s complaint or decision-review process | A consequential decision made with AI | Reconsideration, correction and an explanation where available |
| Professional or sector body | Medical, legal, financial, engineering or other regulated harm | Independent assessment and advice on preserving rights |
| Regulator or law enforcement | Serious, repeated, deceptive, discriminatory, privacy or criminal conduct | Applicable reporting procedure, evidence requirements and deadlines |
6. Handle financial harm and fraud quickly
Because this site serves personal-finance readers, treat an unsafe financial output as a potential fraud or loss event, not merely a bad answer.
- Stop pending transactions. Do not authorize a transfer, share a one-time code or provide additional identity documents until a trusted human has checked the request.
- Call the institution through a verified channel. Use the phone number on your card, statement or official account—not a number supplied by the AI conversation.
- Ask what can be recalled or frozen. The options differ for card payments, bank transfers, brokerage orders, digital wallets and loans, and timing can affect recovery.
- Secure credentials. Change compromised passwords from a trusted device, enable multifactor authentication and review recent sessions and beneficiaries.
- Document the loss. Save transaction IDs, timestamps, messages and the AI output, while redacting secrets before sharing.
- Follow local reporting rules. Your bank, payment provider, police service or financial regulator may each have a different process and deadline.
Never let an AI system be the sole source for a tax filing position, an investment recommendation, a debt-settlement promise or a claim that a payment is “guaranteed.” Verify the underlying rule, contract or account data.
7. Recognize the main failure modes
Confabulation or hallucinated facts
Generative systems can produce fluent claims, citations, calculations or quotations that are false. NIST’s July 26, 2024 announcement identifies harmful content and confabulated output as risks associated with generative AI. Check important claims against primary documents and independent human expertise.
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Harmful content or unsafe instructions
A system may supply instructions that enable violence, self-harm, illegal activity or dangerous physical procedures. Do not test the instructions. Preserve only what is needed for a report and use the appropriate safety or emergency channel.
Bias and unequal impact
AI can amplify harmful bias in data or decisions. NIST’s publication Towards a Standard for Identifying and Managing Bias in Artificial Intelligence was published on March 15, 2022. If a person received a different price, opportunity, credit outcome, service or disciplinary result, record the comparable facts and request a human review rather than trying to prove intent from the output alone.
Privacy and security leakage
An AI tool may expose confidential prompts, retrieve information from an improperly connected system or encourage you to disclose more data than necessary. Stop adding sensitive information, ask the operator what was retained or shared, and follow your organization’s privacy-incident procedure if personal data is involved.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.8. Decide whether the system should be used again
Do not resume use simply because a provider apologizes or changes the wording of an answer. Assess whether the task can be bounded, checked and overridden by a competent person.
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- Define the permitted task. Separate drafting or brainstorming from decisions that affect rights, money, health or safety.
- Set a verification rule. Require a human to check every consequential output against authoritative records.
- Limit access. Use the minimum data, permissions and connected tools necessary.
- Monitor unusual behavior. Look for sudden changes in recommendations, fabricated sources, discriminatory patterns or attempts to bypass controls.
- Test the fallback. Know how to pause, roll back, correct a record and continue manually.
- Stop using it when controls are inadequate. If the intended use cannot be made sufficiently safe, choose a non-AI process or a different system.
NIST’s AI RMF describes trustworthy AI through validity and reliability, safety, security and resilience, accountability and transparency, explainability and interpretability, privacy, and fairness. These characteristics can conflict; a system that is accurate on average may still be unacceptable for a high-impact use if it cannot be explained, challenged or safely overridden.
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9. What organizations should do after an incident
If you manage a business or team, assign one person to coordinate the response and preserve a timeline. Contain the affected workflow, notify people who may be harmed, and document the model, data, prompts, controls and human approvals involved. Review whether the incident reflects a one-off answer, a configuration error, a data-quality problem or a wider pattern.
UNESCO’s Recommendation on the Ethics of Artificial Intelligence calls for risk assessment, safety and security throughout the AI lifecycle, oversight, impact assessment, audit, traceability and accountability for AI content and outcomes. It is an international recommendation, not a specific legal entitlement in every country. Use it as a governance reference alongside the laws and sector rules that apply where you operate.
10. Questions to ask when reporting
A focused report is more useful than a long, emotional transcript. State:
- What the system was supposed to do and what it actually did.
- Why the output was unsafe or harmful, including who could be affected.
- Whether harm has already occurred and what containment steps were taken.
- What evidence is attached and what sensitive information was removed.
- What remedy you want: human review, correction, account protection, transaction reversal, deletion, explanation or prevention of recurrence.
- How and when the organization will update you.
Keep copies of your submission and any response. If a deadline, appeal period or preservation request applies, record it immediately; the applicable rule is determined by the relevant jurisdiction and sector.
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