{"resourceId":"uk-ai-in-policing-public-dialogue-2026-final-report-98-participants-20261023","versions":[{"version":"external-21b90f48af0274f76fa4553e382ceb9df81b2c85c520069ef9dee0b3e3538e1b","resource":{"id":"uk-ai-in-policing-public-dialogue-2026-final-report-98-participants-20261023","title":"UK public dialogue on AI in policing: 98 participants accept AI that supports officers but draw red lines at AI prioritising 999 calls and behaviour monitoring","organization":"Home Office, PoliceAI and UKRI (AHRC); delivered by Thinks Insight & Strategy","sector":"Policing / public attitudes to AI-assisted decision-making","geography":"England and Wales (workshops in Manchester, Norwich and Swansea)","publishedAt":"Published by UKRI Oct. 23, 2026 (report dated September 2026)","publicationDate":"2026-10-23","eventDate":"2026-10-23","sourceName":"UK Research and Innovation","sourceLabel":"AI in Policing Dialogue 2026: Final report (PDF)","sourceUrl":"https://www.ukri.org/wp-content/uploads/2026/10/AHRC-191026-AIIP2-Report.pdf","evidenceClass":"independent-research","outcomeClass":"mixed","topics":["governance-procurement","operating-model","data-security","accessibility-workforce"],"finding":"A deliberative dialogue commissioned by the Home Office and PoliceAI with UKRI, and run by Thinks Insight & Strategy, put three AI use cases to 98 members of the public in Manchester, Norwich and Swansea over five weeks in June and July 2026: online crime reporting, 101/999 call handling and CCTV crime detection. Participants were not anti-AI but their support was conditional on clear public benefit, meaningful human involvement and proportionality. They drew clear red lines around AI prioritising 999 calls and AI behaviour monitoring, both hypothetical. Their recommendations: AI should support, not replace, police judgement; people should be told when AI is used and be able to challenge decisions; systems should be tested before deployment and independently evaluated; and an independent body with regulatory powers should audit police AI use. The report notes AI triage of 101 calls became current practice in August 2026, after fieldwork. Facial recognition was out of scope.","sledRelevance":"One of few structured public-consent studies tied to a national police AI programme; it gives agencies a concrete list of conditions (human contact, notification, challenge routes, independent audit) that communities may expect before AI call handling or CCTV analytics.","evidence":"Opened the UKRI publication page (published 23 October 2026) and the 1 MB PDF; read the foreword, executive summary, methodology, use-case table, recommendations and conclusions.","architectureImplications":"The use cases range from AI prompts to human call handlers, to AI as first point of contact for 101, to AI-flagged CCTV review; acceptability fell as human involvement fell.","governanceImplications":"Participants want independent evaluation and an independent body with regulatory powers; PoliceAI says it will keep a public register of operational police AI and the checks done before deployment.","securityPrivacyImplications":"Behaviour monitoring and online content scanning raised self-censorship and surveillance concerns; the report notes Part 3 of the Data Protection Act 2018 limits solely automated significant decisions.","caveats":"Qualitative deliberative research with a sample broadly reflective of, not representative of, the public; the acceptability ranking was a temperature check, not a quantitative measure. Commissioned by the bodies promoting police AI adoption. Facial recognition and operationally sensitive uses were excluded. UK legal context limits transfer to U.S. agencies.","streamIds":["public-safety"],"roles":{"sales":"Sales framing: this report tells buyers what the public will accept, which matters as much as tool accuracy. Police agencies weighing AI for non-emergency lines or CCTV review face consent questions, not only budget ones. A bounded engagement could be a community-acceptability review of one proposed use case against these conditions. The evidence is qualitative and UK-based, so it cannot support claims about U.S. public opinion or about the effectiveness of any tool.","engineering":"Engineering framing: acceptability tracked how much human involvement remained, so design choices such as a guaranteed transfer to a person, notification that AI is in use and an appeal route are requirements, not extras. Pre-sales should ask where the human sits in each workflow. A proof of value could log how often callers or flagged cases reach a human reviewer and how quickly, tied to the report’s red line on 999 prioritisation.","delivery":"Delivery framing: an agency introducing AI in public contact or CCTV review would add a public engagement step, a notification and challenge process, and independent evaluation before scaling. The operational owner is the chief officer, with the force’s data protection officer. Dependencies include national guidance from PoliceAI and the Home Office. Acceptance criteria are proposals, such as published evaluations before expansion. Risks include treating legal compliance as public consent."},"roleDetails":{"sales":{"customerProblem":"Agencies adopting AI in crime reporting, call handling or CCTV review risk losing public confidence if human contact and accountability are removed.","stakeholders":["Chief officers","Police and crime commissioners or local oversight bodies","Call-handling managers","Data protection officers","Community groups"],"discoveryQuestions":["Which of your AI use cases remove a human from the first point of contact?","Can people find out AI was used and challenge the result?","Who independently evaluates the tool before it scales?"],"valueHypothesis":"Building the report’s conditions into a deployment could reduce public opposition and give decision-makers a defensible record.","potentialEngagement":"Community-acceptability and safeguards review of one proposed AI use case, ending in a list of required human touchpoints and disclosures.","unsupportedClaims":["Effectiveness of any AI tool","U.S. public attitudes","That meeting these conditions guarantees acceptance"]},"engineering":{"fit":"Police non-emergency contact, online reporting and CCTV analytics programmes.","architectureIntegration":"Human handoff, AI-use notification and appeal handling must be built into contact centre and reporting platforms.","prerequisites":["Defined use case and public benefit","Human escalation path","Evaluation plan"],"constraints":["UK legal framework (DPA 2018 Part 3) differs from U.S. law","Excludes facial recognition","Qualitative evidence only"],"security":"Limit solely automated decisions; protect data gathered by chatbots and CCTV analytics under data protection rules.","proofOfValue":["Proposed: measure share of AI-handled contacts that reach a human when requested, and time to reach them","Proposed: test that AI-use notices are presented to every caller or online reporter"]},"delivery":{"work":"Add public engagement, notification and challenge processes, and independent evaluation to AI deployments in public contact and CCTV review.","dependencies":["National guidance from PoliceAI and the Home Office","Data protection impact assessments","Vendor support for human handoff"],"ownership":"Chief officer, with the force data protection officer","skillsAdoption":"Train call handlers and reviewers to supervise AI output and handle challenges.","governanceCheckpoints":["Public engagement before deployment","Independent evaluation before scaling","Entry on the national police AI register"],"acceptanceCriteria":["Proposed: evaluation published before expansion","Proposed: every AI-handled contact offers a route to a person"],"risks":["Treating legal compliance as consent","Scope creep into behaviour monitoring","Unequal trust across communities"]}},"retrievedAt":"2026-10-26T02:51:23Z","enrichedAt":"2026-10-26T02:56:27Z","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Participants expected time saved to go to victims and to call-handler wellbeing, and worried about deskilling and job losses; a route to a human must remain.","procurementImplications":"PoliceAI says it will use the evidence to give chief officers stronger evidence for procurement and deployment decisions.","operatingModelImplications":"Operational decisions remain with chief constables; PoliceAI supports national testing, benchmarking and adoption.","sourceVerification":{"openedUrl":"https://www.ukri.org/wp-content/uploads/2026/10/AHRC-191026-AIIP2-Report.pdf","referenceExcerpt":"a system can pass technical and legal safeguards and still fail the public confidence test","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}