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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchCompare candidates issue by issue, using dated public evidence—not a single “pro-AI” or “anti-AI” label. For U.S. federal races, the Federal Election Commission (FEC) points voters to candidate filings and campaign-finance records; policy positions require separate evidence such as a candidate’s own statements or an incumbent’s legislative record. State and local races require the relevant jurisdiction’s election, legislature, and disclosure offices.
Set the questions before you research candidates
Choose the same concrete AI policy questions for every candidate before you begin. This makes it less likely that one candidate’s record will be examined more closely—or through different criteria—than another’s. AI policy covers distinct issues, so avoid collapsing them into a single overall label.
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A workable issue list can include:
- AI regulation and the role of government
- Compute, chips, and export controls
- Military and national-security uses
- Children’s online safety
- Data centers, energy, and infrastructure
- Jobs and workforce disruption
- Deepfakes, fraud, and synthetic media
- Federal preemption of state rules
- Intellectual property
These are categories for organizing questions, not assumptions that every candidate has addressed each one. AI on the Ballot describes issue areas and candidate-position labels in its methodology.
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Federal candidates
Start with the FEC’s candidate research guide. It links to candidate lists and finance summaries, documents filed by candidates and authorized committees, related committee filings, itemized contributions, and other campaign records. The FEC guide also points to a combined federal and state disclosure directory for state offices that maintain candidate reports and disclosures.
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State and local candidates
Identify the jurisdiction for the specific race, then consult its election office, legislature, and campaign-disclosure agency. The FEC guide is useful for finding state disclosure offices, but state and local records and rules vary. A federal filing search is not a substitute for the records maintained by the relevant state or local office.
Keep campaign-finance records separate from policy evidence
FEC data can show filings, contributions, receipts, disbursements, and committee activity. Those records do not, by themselves, establish a candidate’s position on AI regulation, data centers, or any other policy question. Do not infer a stance from a donor, party affiliation, or campaign-finance pattern.
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For policy, look for candidate-controlled issue pages and statements, questionnaires, interviews, debate transcripts, and—if the candidate is an incumbent—bills, committee statements, and recorded votes. A challenger, or a candidate who has not discussed AI publicly, may have little or no relevant evidence.
Record each piece of evidence in a source ledger
For every candidate and issue, keep the evidence traceable. Record:
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- The issue dimension and the candidate’s position, if one is supported
- A direct link to the source
- The exact relevant words or a precise description of the recorded action
- The source date and type, such as a campaign page, interview, bill, or vote
- Any limitation, including whether the evidence speaks only to a narrow proposal
Candidate-controlled sources and official legislative records are especially direct. An account of an interview in a news story can help locate a position, but use a transcript or recording where one is available. VoteVera’s methodology describes a source-ranking approach that favors recorded votes and candidate-controlled sources over interviews and press quotations, and calls for a linked, dated quotation when coding a stance.
Describe what the evidence does—and does not—show
Use precise language for different kinds of evidence. A candidate’s statement is not the same thing as sponsoring a bill, cosponsoring it, making a committee statement, or casting a vote. A legislative action may support an inference about that particular measure; it does not automatically establish a broader policy philosophy.
For each issue, classify the record in plain language rather than hiding it behind a numerical score. A useful set of labels is direct and clear, indirect, mixed, unclear, or no public position found. Explain the evidence behind the label and distinguish “not researched” from “researched, but not enough public evidence.”
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“No mention” means no relevant public evidence was found in the sources reviewed. It is not proof that the candidate has no position, and it is not a position in favor of or against a policy. Do not fill a gap by inferring from a party, donor, related issue, or one broad remark. Candidate-position trackers can help identify leads, but their classifications and coverage vary; check the cited record. For examples of issue-based comparisons and stated coverage limits, see AI Congress’s record of Congress.
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Account for qualifications, dates, and changes
Preserve distinctions within a candidate’s position. If a candidate supports one part of a proposal and opposes another, record both rather than forcing the evidence into a simple yes-or-no answer. Date each finding, and note later clear statements that clarify or change an earlier position. Older legislative actions may not reflect a candidate’s current view.
Make coverage visible in the comparison. Mark whether each issue was researched, not researched, or lacked enough public evidence. If you present aggregate tracker coverage, state the tracker’s selection criteria and the candidates or records included; a project’s coverage is not a measure of all candidates’ positions.
Present candidates on equal terms
Use the same issue order and evidence standards for every candidate. A comparison table can make the method visible:
| Comparison field | What to show |
|---|---|
| Issue | The same defined AI policy question for every candidate |
| Position | A concise description supported by the cited words or action |
| Evidence | A link, date, source type, and relevant quotation or recorded action |
| Strength and scope | Whether evidence is direct, indirect, mixed, unclear, or absent—and whether it supports only a narrow inference |
| Coverage | Researched, not researched, or not enough public evidence |
Do not turn “unclear” or “no public position found” into a score. If you use a third-party tracker, identify its scope and link back to the underlying source where possible; a tracker’s summary is not a substitute for the public record.
Keep campaign-ad law in historical context
The Congressional Research Service’s report Artificial Intelligence (AI) and Campaign Finance Policy: Recent Developments, updated August 27, 2024, stated: “No federal statute or regulation specifically addresses artificial intelligence (AI) in political campaigns.” The report also said federal campaign-finance disclaimer rules appeared to apply to AI-generated ads but did not require an alert that an ad was AI-generated, and discussed proposals and agency activity from 2023–2024. These are dated descriptions, not a statement of the law in October 2026. Check current statutes, regulations, and agency materials before treating them as current legal guidance. The report is available from the Congressional Research Service.
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