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Our client wants to deploy a smart thermostat learning a household's temperature preferences over time. | minimal_risk |
A startup is building an AI tool that drafts email replies which customer-service staff review, edit and send themselves. | minimal_risk |
Proposed use case: a smart speaker that identifies itself by name as an AI assistant when a user first sets it up. | limited_risk |
Our client wants to deploy a control system for a municipal water treatment plant's safety-critical valves and monitoring. | high_risk |
We're planning to build a bank's AI system calculating a loan applicant's credit score to approve or reject a mortgage. | high_risk |
Proposed use case: an AI phone agent that books GP appointments by talking with patients who call the surgery. | limited_risk |
Our client wants to deploy a website's help widget clearly labelled 'AI Assistant' at the top of the chat window, answering visitor questions. | limited_risk |
Our client wants to deploy a fintech app establishing a personal creditworthiness score used to set someone's borrowing limit. | high_risk |
A startup is building an AI tool enhancing a blurry CCTV image so a human investigator can examine it more clearly. | minimal_risk |
We are developing a personal photo app auto-tagging holiday pictures with generic labels like 'beach' or 'mountains'. | minimal_risk |
A retailer running a legal targeted-advertising campaign based on browsing history, using ordinary marketing persuasion. | minimal_risk |
An HR start-up's CV-ranking tool built on a third-party general-purpose model accessed through an API. | high_risk |
A system that detects recently arrived migrants in a precarious economic situation and steers them toward disadvantageous contract terms that cause them serious financial harm. | prohibited |
A startup is building an AI phone agent that books GP appointments by talking with patients who call the surgery. | limited_risk |
We're planning to build software grading student exams and quizzes that count toward a final course evaluation. | high_risk |
We are developing a voice bot that answers a utility company's customer calls and resolves meter-reading questions. | limited_risk |
A startup is building software monitoring which bills an elected official has sponsored, for public transparency reporting. | minimal_risk |
A startup is building an AI tool prioritising social-housing applicants by income, household size and urgency. | high_risk |
A fintech app establishing a personal creditworthiness score used to set someone's borrowing limit. | high_risk |
Our client wants to deploy a private security firm's tool labelling named individuals as 'high crime risk' from personality-test results alone. | prohibited |
We're planning to build an in-car voice assistant that holds spoken conversations with the driver about navigation and settings. | limited_risk |
Our client wants to deploy a physical rehabilitation app adjusting exercise difficulty based on patient progress, under a doctor's supervision. | minimal_risk |
We are developing a banking app's AI assistant that answers account questions in a live chat with customers. | limited_risk |
Our client wants to deploy an AI tool allocating law-firm case work to associates based on a score built from billing hours and responsiveness. | high_risk |
We are developing software categorising conference attendees by inferred demographic traits based on facial biometric data. | high_risk |
A stadium entry-gate system checking a visitor's face against their own ticket to confirm identity, not to search a watchlist. | minimal_risk |
We're planning to build software generating draft small-claims rulings from structured case data and standard legal templates. | high_risk |
A startup is building an image-compression tool automatically resizing product photos before upload. | minimal_risk |
A startup is building an AI safety component managing gas-supply pressure regulation for a district heating network. | high_risk |
Software predicting which neighbourhood and time window has elevated burglary risk, without linking to a specific person. | minimal_risk |
We're planning to build law-enforcement software analysing physiological signals as a lie-detection aid during questioning. | high_risk |
A system inferring shoppers' age bracket and likely income group from biometric scans for retail analytics. | high_risk |
A startup is building a border-control AI system used to identify individuals during migration processing, beyond simple travel-document checks. | high_risk |
Our client wants to deploy a messaging bot that creates intimate fake images of classmates or colleagues from their profile pictures. | prohibited |
Proposed use case: a retail analytics tool inferring shoppers' political leanings from facial biometric scans in-store. | prohibited |
Proposed use case: a brain-computer interface product that uses subliminal audio cues to push users toward a specific financial choice. | prohibited |
Software computing an individual security or health risk flag during visa processing for named applicants. | high_risk |
We are developing software estimating shipping costs based on package weight and distance. | minimal_risk |
We're planning to build software used by law enforcement to flag which persons are statistically likely to become crime victims. | high_risk |
A company harvesting profile pictures from across the internet, untargeted, to train and grow a face-matching product. | prohibited |
We are developing a company harvesting profile pictures from across the internet, untargeted, to train and grow a face-matching product. | prohibited |
A startup is building AI collision detection on a collaborative robot that halts the arm before it strikes a nearby worker. | high_risk |
We're planning to build a recruitment tool inferring candidates' religious beliefs from headshot photos to pass to hiring managers. | prohibited |
An AI learning assistant whose end-of-unit reports on student progress are used by teachers to set final grades. | high_risk |
Proposed use case: software checking that a visa application form has all required fields filled in, without assessing its content. | minimal_risk |
We are developing a vending machine using biometric age estimation to decide whether to sell an age-restricted product. | high_risk |
We are developing an online store suggesting related products based on a shopper's own past purchases on that same store. | minimal_risk |
Our client wants to deploy a police-used tool predicting which specific individuals are at risk of becoming victims of trafficking. | high_risk |
Proposed use case: law-enforcement software profiling individuals during the detection phase of an ongoing criminal case. | high_risk |
We are developing software allocating limited home-care hours among elderly applicants based on need. | high_risk |
A startup is building an AI tool organising incoming CVs into a searchable internal database for recruiters, without scoring or ranking them. | minimal_risk |
We are developing an AI system recognising heavy objects on a vulnerable bridge to prevent structural collapse. | high_risk |
A grammar checker suggesting edits in a word processor. | minimal_risk |
Our client wants to deploy software verifying that a passport's chip and security features are genuine, unrelated to detecting people. | minimal_risk |
Proposed use case: software rewriting caseworkers' already-decided benefit letters in plain language without changing the decision. | minimal_risk |
Software assigning primary-school children to specific classes or streams based on an automated assessment. | high_risk |
Our client wants to deploy an AI learning assistant whose end-of-unit reports on student progress are used by teachers to set final grades. | high_risk |
Our client wants to deploy an employer scoring staff using unrelated personal social behaviour to deny internal transfer requests disproportionately. | prohibited |
An AI system producing a per-traveller risk score from travel history and watch-list matches for border referral. | high_risk |
A startup is building a farm-management tool predicting optimal irrigation timing from soil-moisture sensors. | minimal_risk |
Our client wants to deploy software evaluating coding-bootcamp learners' project submissions to determine their final certification outcome. | high_risk |
A startup is building a court-assistance tool helping a judge research relevant case law and apply it to the facts of a pending case. | high_risk |
Our client wants to deploy an app that scans a person's face to infer their likely religious affiliation for targeted advertising. | prohibited |
A startup is building a tool that checks teachers' already-completed exam grading for inconsistencies and sends flagged papers back to the teacher for review. | minimal_risk |
A startup is building software checking that a visa application form has all required fields filled in, without assessing its content. | minimal_risk |
A startup is building a car safety system detecting driver drowsiness or eye closure to trigger an alert and prevent accidents. | minimal_risk |
We're planning to build a company harvesting profile pictures from across the internet, untargeted, to train and grow a face-matching product. | prohibited |
Software using flicker rates below conscious perception embedded in an ad to drive impulse buying that causes viewers significant financial harm. | prohibited |
Proposed use case: a retail store using AI to infer shoppers' mood from in-store cameras, disclosed via a sign at the entrance. | high_risk |
We're planning to build an AI tool comparing footage from a private security camera against a database to identify a suspect seen on the recording. | high_risk |
We are developing a tool helping a loan applicant understand and fill out a credit application form, separate from the scoring itself. | minimal_risk |
We are developing an AI tool assessing the authenticity and consistency of an asylum applicant's documents and personal narrative. | high_risk |
Proposed use case: an AI system managing traffic-signal timing across a city's road network as a core safety function. | high_risk |
Proposed use case: an AI system classifying 112 emergency calls by urgency and routing responders using natural language processing. | high_risk |
Proposed use case: an AI tool enhancing a blurry CCTV image so a human investigator can examine it more clearly. | minimal_risk |
A startup is building an AI tool allocating law-firm case work to associates based on a score built from billing hours and responsiveness. | high_risk |
A museum recreating a historical figure's voice with AI for an exhibition audio guide, labelled as synthetic. | limited_risk |
We're planning to build software predicting which neighbourhood and time window has elevated burglary risk, without linking to a specific person. | minimal_risk |
A remote-work monitoring tool reading employees' facial expressions during video calls to report 'engagement scores' to managers. | prohibited |
Our client wants to deploy an AI system managing traffic-signal timing across a city's road network as a core safety function. | high_risk |
We're planning to build a data broker continuously scraping millions of public Instagram photos to expand a commercial facial-recognition dataset. | prohibited |
We're planning to build an AI tool used to decide employee promotions from automated productivity scoring alone. | high_risk |
We're planning to build a spam filter sorting unwanted emails out of a company inbox. | minimal_risk |
Our client wants to deploy a museum recreating a historical figure's voice with AI for an exhibition audio guide, labelled as synthetic. | limited_risk |
Proposed use case: law-enforcement software analysing physiological signals as a lie-detection aid during questioning. | high_risk |
Proposed use case: software scheduling campaign rallies and assigning volunteers to shifts for a political party. | minimal_risk |
We are developing an AI tool enhancing a blurry CCTV image so a human investigator can examine it more clearly. | minimal_risk |
We are developing software matching CCTV facial images from a stadium incident against a database to identify offenders after the fact. | high_risk |
A court-assistance tool helping a judge research relevant case law and apply it to the facts of a pending case. | high_risk |
A startup is building an AI tool forecasting electricity demand for grid capacity planning, separate from any safety control system. | minimal_risk |
An AI system that phones customers to remind them of unpaid invoices and discusses payment dates with them. | limited_risk |
We're planning to build a parole-support tool combining verified criminal record data with a caseworker's assessment to estimate reoffending risk. | high_risk |
Proposed use case: an AI tool used to decide employee promotions from automated productivity scoring alone. | high_risk |
Our client wants to deploy software flagging unusual transaction patterns that may indicate money laundering, based only on amounts and timing, not personal profiles. | minimal_risk |
We are developing a retailer running a legal targeted-advertising campaign based on browsing history, using ordinary marketing persuasion. | minimal_risk |
An automated essay-grading system that decides whether a student passes or fails a course. | high_risk |
Proposed use case: an SMS bot that replies to tenants' maintenance requests and arranges repair visits in conversation. | limited_risk |
Proposed use case: a language-learning app giving instant feedback on exercises that don't count toward any certification. | minimal_risk |
We are developing a grammar checker suggesting edits in a word processor. | minimal_risk |
An AI tool that drafts email replies which customer-service staff review, edit and send themselves. | minimal_risk |
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