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Ask what the system does, what information it uses, whether it decides or advises, who is accountable, how it is tested, and how you can correct or challenge a result. “AI” can mean anything from a tool that flags a case for staff to a system that makes a decision automatically, so the right questions—and any rights or remedies—depend on the city, service, and decision involved.
First, find out whether a system is involved
A city system may produce a prediction, recommendation, score, classification, ranking, or decision that affects access to a public service. It may not be described to residents as “AI.” Ask whether an automated or algorithmic tool influenced the specific decision, even if a staff member signed off on it.
New York City’s Administrative Code uses a material-impact definition of algorithmic tools and gives examples such as risk scores and classifications that affect resource allocation. That is a New York City rule, not a definition or disclosure requirement that applies everywhere.
What is the system doing?
Ask the city to identify the system and explain its role in the service. New York City’s annual reporting requirements illustrate the kinds of information a city may track: tool name, purpose, data and sources, how outputs are used, vendor involvement, start date, modifications, and assessment information.
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- What is the system’s name, and which department uses it?
- What service or decision does it affect, and what is it intended to do?
- Does it make a decision, rank or flag cases, generate a score, or advise a staff member?
- When did the city begin using it? Has its purpose, data, or operation changed?
- Who made or supplies it, and what role does a vendor play?
What information goes in, and how is the system checked?
Ask what information the system uses and how the city checks whether it is suitable for the people and service involved. Data can be inaccurate, out of date, or unrepresentative; assumptions or the way a tool is used can also contribute to errors or uneven effects.
- What personal, household, or neighborhood information does it use, and where did that information come from?
- How does the city check that the information is accurate and current?
- Has the city tested whether errors or outcomes differ among affected communities?
- What testing took place before the system was used, and what monitoring happens afterward?
- Who reviews the results, and what happens if monitoring finds a problem?
The UK government’s public-sector framework recommends suitable testing and ongoing review, and identifies biased or outdated datasets, flawed assumptions, and technical or usage problems as risks. Its framework is UK guidance, not a rule for cities in other countries.
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Who is accountable, and can a person change the result?
Ask for the department or office responsible and a clear contact for questions about the decision. If staff review a system’s output, ask what that review means in practice—not just whether a person is “in the loop.”
- Which department and responsible official own the system and the decisions it influences?
- Does a staff member review every result or only some cases?
- Can the reviewer disregard or change the system’s recommendation? What information do they consider?
- How can I contact the office responsible for this decision?
The UK framework distinguishes a solely automated decision from a system that assists an accountable officer’s judgment, and calls for clear accountability and an assigned senior owner. A human review is meaningful to a resident only if the reviewer has responsibility and a real ability to act.
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What can I do if the result is wrong?
Ask for the process that applies to your service and decision. Do not assume that a city offers a particular appeal, human review, correction right, deadline, or remedy: procedures and legal protections vary by jurisdiction and context.
- How can I get an explanation of the result in language I can understand?
- How can I see or correct inaccurate information used in reaching it?
- Can I request review by a person, complain, appeal, or seek another remedy? What are the steps?
- What deadline applies, when does it begin, and where should I submit the request?
- What records or documents should I include, and how will the city confirm receipt?
The UK framework recommends plain-English explanations and simple ways to request human intervention or challenge a decision. San José’s artificial intelligence inventory and assessment materials ask how residents can identify and correct errors or appeal them. These are examples of guidance and assessment practices; check the current procedure for the city and service you are dealing with.
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How to make the questions useful in practice
- Identify the decision. Note the city service, department, date, and notice or case number, if you have one.
- Ask for the tool’s role. Request the system’s name, purpose, and whether it decides, ranks, flags, scores, or advises in your case.
- Ask for the relevant process in writing. Request the explanation, correction, review, complaint, or appeal procedure and any deadline that applies to your particular decision.
- Keep the response and your records. Save notices, forms, correspondence, and the information you submitted. If a deadline is approaching, ask the responsible office how to preserve your ability to seek review.
- Follow up with a specific question. If the city replies only that a person reviewed the case, ask what the reviewer could change and how to request reconsideration.
Keep your inquiry focused on the system’s influence on your decision and the available route to correct or challenge it. A city may limit what it can disclose—for example, New York City’s code provides exceptions tied to legal compliance, public safety, and active investigations.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to compare two city systems or policies
If you are comparing systems or municipal policies, look at the same dimensions for each rather than treating the label “AI” as enough to judge its impact.
| What to compare | Question to ask |
|---|---|
| Impact | Which services and residents may be affected, and how consequential is the decision? |
| Role | Does the system decide, rank or flag cases, or advise a person? |
| Transparency | Does the city identify the purpose, data sources, and vendor involvement? |
| Testing and monitoring | What testing and continuing checks address accuracy, bias, and unintended effects? |
| Accountability | Is a responsible office or official identified, and can a human reviewer intervene? |
| Resident recourse | Can residents understand the result, correct information, and find the applicable review or challenge process? |
Local rules are not interchangeable
New York City’s Administrative Code, the UK government’s framework, and San José’s inventory materials describe different jurisdictions and kinds of requirements. New York City’s code requires specified agency disclosures about algorithmic tools, while allowing certain exceptions. The UK framework is public-sector guidance for a different legal setting. Neither establishes a universal process or identical rights for every resident.
Phoenix’s page on generative AI describes municipal policy and uses; it does not establish a general route for contesting consequential city decisions. For any specific case, ask the city department handling the service which rules and procedures apply.
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