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We are developing a tool helping a loan applicant understand and fill out a credit application form, separate from the scoring itself. | minimal_risk |
Our client wants to deploy a remote-work monitoring tool reading employees' facial expressions during video calls to report 'engagement scores' to managers. | prohibited |
Investors asked how we comply with the law for an AI tool that drafts email replies which customer-service staff review, edit and send themselves. | minimal_risk |
We are developing an office system that reads employees' facial expressions to adjust meeting-room lighting, disclosed via posted notice. | prohibited |
We are developing a tool producing realistic sexually explicit clips of a named local politician for posting on anonymous accounts. | prohibited |
Investors asked how we comply with the law for an airport's live facial recognition scanning every traveller in real time for general security monitoring, no judicial authorisation. | high_risk |
We're planning to build law-enforcement software analysing physiological signals as a lie-detection aid during questioning. | high_risk |
Our product is image-generation software producing photorealistic product renders used in an online catalogue. | limited_risk |
A service that uses AI to turn ordinary photos of real children into sexual imagery. | prohibited |
An AI system on a surveillance tower flagging human presence near a land border to trigger patrol dispatch. | high_risk |
My company sells an AI system that writes and targets personalised political messages to individual voters to change how they vote. Do we need to do anything? | high_risk |
We are developing an AI tool enhancing a blurry CCTV image so a human investigator can examine it more clearly. | minimal_risk |
A startup is building an app developer pulling every face it can from photo-hosting sites to expand the face database behind its find-this-person feature. | prohibited |
We're planning to build an app recommending university programmes to a student based on their own stated interests, with no role in admissions. | minimal_risk |
A company harvesting profile pictures from across the internet, untargeted, to train and grow a face-matching product. | prohibited |
Proposed use case: a city government running live facial recognition across all town-centre CCTV cameras to identify any passer-by for general policing. | prohibited |
We're planning to build an employer scoring staff using unrelated personal social behaviour to deny internal transfer requests disproportionately. | prohibited |
We're planning to build an office door that checks an employee's live face against their own enrolled badge photo to confirm it is them. | minimal_risk |
Our client wants to deploy an AI system that phones customers to remind them of unpaid invoices and discusses payment dates with them. | limited_risk |
The tender asks for a grammar checker suggesting edits in a word processor. | minimal_risk |
We are developing a radio station using an AI copy of its own presenter's voice, with her contractual consent, to read traffic updates. | limited_risk |
We're planning to build a benefits-office tool described as data preparation that profiles applicants' spending behaviour to pre-sort applications for caseworkers. | high_risk |
We're planning to build an AI agent that answers customers' emails on its own and sends the replies without staff review. | limited_risk |
Quick question: we run an AI tool scheduling maintenance for hospital imaging machines based on usage logs. What applies to us? | minimal_risk |
Our product is an office system that reads employees' facial expressions to adjust meeting-room lighting, disclosed via posted notice. | prohibited |
Investors asked how we comply with the law for software generating a synthetic voiceover that sounds like a real professional narrator for an audiobook. | limited_risk |
Proposed use case: software predicting which specific person in a neighbourhood is most likely to commit burglary based solely on demographic profiling. | prohibited |
Proposed use case: software that identifies people in stored bodycam footage by matching their faces against a police database after the event. | high_risk |
Investors asked how we comply with the law for a marketing team A/B testing ad headlines to see which one converts better, using normal legitimate techniques. | minimal_risk |
Proposed use case: a warehouse system forecasting next month's demand for a product line. | minimal_risk |
We are developing software flagging potential typos in a document before publishing. | minimal_risk |
Proposed use case: a language-learning app that voices practice dialogues with synthetic voices that do not imitate real people. | limited_risk |
We are developing a shift-scheduling AI that ranks warehouse workers by performance and allocates the best shifts accordingly. | high_risk |
Proposed use case: software that blurs faces and number plates in bodycam footage before it is released to the press. | minimal_risk |
My company sells software estimating shipping costs based on package weight and distance. Do we need to do anything? | minimal_risk |
We are developing an app that turns a student's own lecture notes into practice flashcards. | minimal_risk |
A startup is building an AI tool matching apprenticeship applicants to available vocational training slots based on qualifications. | high_risk |
Software assisting a visa office in assessing the reliability of evidence submitted with a residence-permit application. | high_risk |
We are developing an AI tool that plans the routes campaign volunteers take to deliver leaflets. | minimal_risk |
Our client wants to deploy a polygraph-style AI tool used during a police interrogation to assess truthfulness. | high_risk |
We're planning to build an age-verification system estimating a user's age bracket from a selfie to restrict access to age-rated content. | high_risk |
A startup is building a music app recommending the next song based on listening history. | minimal_risk |
Is it allowed to launch a remote-work monitoring tool reading employees' facial expressions during video calls to report 'engagement scores' to managers? | prohibited |
A startup is building a bank's AI system calculating a loan applicant's credit score to approve or reject a mortgage. | high_risk |
We're planning to build a vision system that instantly stops an industrial press when an operator's hand enters the danger zone. | high_risk |
Predictive-maintenance software flagging infrastructure components likely to need servicing soon, as one precaution among several. Which rules apply? | minimal_risk |
We're planning to build a plagiarism checker comparing submitted homework against a database of existing text, done after submission. | minimal_risk |
Software using flicker rates below conscious perception embedded in an ad to drive impulse buying that causes viewers significant financial harm. | prohibited |
Our client wants to deploy an AI system that rates how reliable a witness statement is to guide investigators. | high_risk |
Our client wants to deploy an AI system deciding whether an applicant qualifies for unemployment benefits and in what amount. | high_risk |
We are developing a polygraph-style AI tool used during a police interrogation to assess truthfulness. | high_risk |
We are developing an AI tool organising incoming CVs into a searchable internal database for recruiters, without scoring or ranking them. | minimal_risk |
We're planning to build a tool generating placeholder text for a website design mockup. | minimal_risk |
We're planning to build a transit authority scanning every commuter's face in real time against a general watchlist for routine law enforcement purposes. | prohibited |
We're planning to build AI diagnostic software assessing skin lesions for melanoma that requires notified-body certification as a medical device. | high_risk |
We are developing customer segmentation software analysing spending patterns for marketing, with no role in creditworthiness assessment. | minimal_risk |
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 |
Investors asked how we comply with the law for a WhatsApp assistant that answers a pharmacy's customers about opening hours and prescription pick-up. | limited_risk |
Our product is a tool that translates job adverts into several languages before a recruiter publishes them. | minimal_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 |
Our client wants to deploy software reviewing photos of installed electricity meters and flagging installation errors for a technician to check. | minimal_risk |
Our client wants to deploy 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 an in-car voice assistant that holds spoken conversations with the driver about navigation and settings. | limited_risk |
We are developing a marketing team A/B testing ad headlines to see which one converts better, using normal legitimate techniques. | minimal_risk |
We are developing software assigning primary-school children to specific classes or streams based on an automated assessment. | high_risk |
The tender asks for an AI tool that transcribes recorded police interviews into text for the case file. | minimal_risk |
Our client wants to deploy a landlord-screening platform combining tenants' social media posts and unrelated purchase history to deny housing applications. | prohibited |
We're planning to build a chatbot trained to deceptively impersonate a trusted friend's writing style to talk someone into a financial decision against their interest. | prohibited |
My company sells an image model marketed on a forum specifically for producing child sexual abuse material. Do we need to do anything? | prohibited |
Investors asked how we comply with the law for software predicting which neighbourhood and time window has elevated burglary risk, without linking to a specific person. | minimal_risk |
A marketing tool de-duplicating a mailing list before a newsletter send. | minimal_risk |
We're planning to build live facial recognition at a border checkpoint comparing travellers against biometric watchlists in real time. | high_risk |
Proposed use case: a border agency's polygraph-style AI tool used during traveller interviews at a checkpoint. | high_risk |
Pilot project: software analysing online posts' sentiment and networks to flag users as potential extremist-affiliated persons. | high_risk |
Investors asked how we comply with the law for an airline's chatbot handling flight-change requests in direct conversation with passengers. | limited_risk |
Proposed use case: an AI tool that transcribes recorded police interviews into text for the case file. | minimal_risk |
We are developing a streaming service recommending shows based only on a user's own viewing history on that same service. | minimal_risk |
Our client wants to deploy a 911/112 dispatch system that automatically prioritises which emergency calls get a first responder sent first. | 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 |
Our client wants to deploy an AI system producing a per-traveller risk score from travel history and watch-list matches for border referral. | 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're planning to build an SMS bot that replies to tenants' maintenance requests and arranges repair visits in conversation. | limited_risk |
We're planning to build a court-assistance tool helping a judge research relevant case law and apply it to the facts of a pending case. | high_risk |
Live facial recognition at a border checkpoint comparing travellers against biometric watchlists in real time. | high_risk |
A startup is building software assisting a judge's sentencing decision using documented case facts alongside a risk score, not personality alone. | high_risk |
We're planning to build a system that identifies elderly users showing signs of confusion and increases pressure tactics in a sales call script accordingly. | prohibited |
Our product is a charity using an AI-generated realistic video of its founder, with his consent, to deliver an annual message. | limited_risk |
A startup is building an HR start-up's CV-ranking tool built on a third-party general-purpose model accessed through an API. | high_risk |
Proposed use case: a tool that translates job adverts into several languages before a recruiter publishes them. | minimal_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 game with dark-pattern AI that manipulates a player's emotional state to maximise in-game purchases, leading many players to spend far beyond their means and run up significant debt. | prohibited |
Our client wants to deploy a call-taker assistant that listens for signs of a life-threatening emergency and helps classify call severity. | high_risk |
We're planning to build software that predicts busy hours at a public library to plan front-desk staffing. | minimal_risk |
An app that identifies users with cognitive disabilities and adjusts its interface to make them more likely to accept unfavourable terms. | prohibited |
Our client wants to deploy a school hallway camera system flagging bullying incidents outside of any testing context. | minimal_risk |
Proposed use case: software grading student exams and quizzes that count toward a final course evaluation. | high_risk |
The tender asks for an in-car voice assistant that holds spoken conversations with the driver about navigation and settings. | limited_risk |
We're planning to build a WhatsApp assistant that answers a pharmacy's customers about opening hours and prescription pick-up. | limited_risk |
A shift-scheduling AI that ranks warehouse workers by performance and allocates the best shifts accordingly. | high_risk |
Our client wants to deploy software evaluating coding-bootcamp learners' project submissions to determine their final certification outcome. | high_risk |
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