{"meta":{"exportedAt":"2026-09-30T07:54:02.019Z","formatVersion":2,"selection":{"q":"fir","system":"","harm":"","context":"","country":"","role":"","relation":"unknown","evidence":"","year":"2026","response":"","severity":"","verification":"","view":"incidents","sort":"added"},"totalIncidents":8,"coverage":{"cases":8,"countries":5,"languages":1,"unknownLocation":0,"locationPending":0,"unknownLanguage":5,"unknownDate":0,"lawsuits":0,"regulatory":1,"minors":0,"coreRelations":0,"contextualRelations":0,"mixedRelations":0,"unknownRelations":8,"relationPending":5,"relationUnknown":3},"countingNote":"Distinct public cases in this selection. People counts apply within individual cases only; cross-case person overlap has not been resolved. No population incidence estimate.","affectedCountNote":"Interpret person counts with affectedCountStatus and the reported effects. Unquantified zeros are placeholders, not a measured zero.","source":"AI incidents","publisher":"NOPE","url":"https://nope.net/incidents","license":"CC BY 4.0"},"incidents":[{"id":"2026-meta-mci-us-employee-keystroke-and-screen-capture-for-ai-training-then-internal-data-exposure","caseFacts":{"claims":[{"id":"c1","status":"corroborated","evidence":[{"locator":"Meta is installing tracking software on U.S. employees’ work computers that will capture mouse movements, clicks, and keystrokes, along with some screenshots to feed the data into its AI training pipeline, according to Reuters.","relation":"supports","source_id":"s1"},{"locator":"will run on a designated list of work apps and websites.","relation":"supports","source_id":"s1"},{"locator":"The company added that safeguards are in place to protect sensitive content and that the data will not be used for any other purpose.","relation":"context","source_id":"s1"},{"locator":"allows Meta to observe and collect data from staffers' actions on their work computers","relation":"supports","source_id":"s3"},{"locator":"A Meta spokesperson confirmed the project","relation":"supports","source_id":"s3"},{"locator":"To help, we're launching an internal tool that will capture these kinds of inputs on certain applications to help us train our models.","relation":"supports","source_id":"s3"},{"locator":"It’s a piece of mandatory software that Meta began installing on the laptops of US employees last month.","relation":"supports","source_id":"s4"},{"locator":"The company positioned the program as an opportunity for Meta employees to “help our models get better simply by doing their daily work,” with a promise that the information would not be used for performance reviews or other potentially invasive purposes.","relation":"context","source_id":"s2"}],"assertion":"From April 2026 Meta installed software on US employees' work computers that captures mouse movements, clicks, keystrokes and screen content on a designated list of applications and sites, and Meta said the inputs are used to train its AI models.","causal_attribution":"Meta's own statement of purpose (training its models) is quoted by several outlets from the same company statement. Reuters' original memo report could not be read (HTTP 401 and no archive copy), so the Reuters chain is inspected only through Fortune and Gizmodo. CNBC and WIRED report from their own internal messages and sources."},{"id":"c2","status":"reported","evidence":[{"locator":"When MCI launched, employees couldn’t opt out, but that changed to a limited degree after workers protested.","relation":"supports","source_id":"s6"},{"locator":"It’s a piece of mandatory software that Meta began installing on the laptops of US employees last month.","relation":"supports","source_id":"s4"},{"locator":"Meta this month began offering more exemptions to the monitoring, including letting staffers briefly turn off the surveillance so they could complete sensitive tasks, such as scheduling a personal appointment","relation":"supports","source_id":"s5"},{"locator":"can control what shows up on your screen by not doing personal work on your work computer,\" the memo said.","relation":"context","source_id":"s3"}],"assertion":"WIRED reports that MCI was mandatory software for US employees and that at launch employees could not opt out. WIRED also reports, citing two people familiar with the matter, that in June 2026 Meta began offering more exemptions, including letting staffers briefly turn off the tracking for sensitive tasks.","causal_attribution":"WIRED reports the opt-out position from its own sources. The CNBC memo excerpt shows Meta's launch-time answer to employees' concerns."},{"id":"c3","status":"reported","evidence":[{"locator":"Multiple Meta employees characterized the data-tracking project as \"dystopian\" in internal messages viewed by CNBC.","relation":"supports","source_id":"s3"},{"locator":"Others expressed concerns that MCI could widely expose sensitive data, including user passwords, details about new product development, and personal information about workers' immigration status, health or family members.","relation":"supports","source_id":"s3"},{"locator":"“Selfishly, I don't want my screen scraped because it feels like an invasion of my privacy,” wrote an engineer in an internal post seen by nearly 20,000 coworkers this week.","relation":"supports","source_id":"s4"}],"assertion":"Employees objected internally: CNBC reports multiple employees called the project \"dystopian\" in internal messages and others worried it could expose sensitive data such as passwords and personal information, and WIRED quotes an engineer's internal post, seen by nearly 20,000 coworkers, saying having the screen scraped felt like an invasion of privacy.","causal_attribution":"Employees' own stated concerns as quoted by CNBC and WIRED from internal messages. These are reported reactions and concerns, and neither outlet reports that the concerns had materialised at that point."},{"id":"c4","status":"reported","evidence":[{"locator":"Meta employees at several US offices walked into meeting rooms, broke for coffee at vending machines, and used the restrooms only to find pamphlets denouncing the company’s new mouse-tracking software as an “Employee Data Extraction Factory” and urging staff to sign an online petition against it.","relation":"supports","source_id":"s7"},{"locator":"In Meta offices in California and New York, workers have been posting flyers in cafeterias and other communal areas pointing colleagues to the petition.","relation":"supports","source_id":"s4"},{"locator":"Last month, more than 1,600 employees at the tech giant signed an internal petition protesting the laptop surveillance effort","relation":"supports","source_id":"s5"}],"assertion":"In May 2026 flyers appeared in US offices pointing staff to a petition against the programme, and WIRED reported in June that more than 1,600 employees had signed an internal petition protesting it.","causal_attribution":"The TNW piece relays Reuters reporting on the flyers. WIRED reports the flyers and the signature count from its own sources."},{"id":"c5","status":"reported","evidence":[{"locator":"Meta left potentially sensitive information collected from employee laptops accessible to anyone inside the company, according to an internal security notice seen by WIRED and three current employees familiar with the issue.","relation":"supports","source_id":"s5"},{"locator":"The security notice sent out Monday indicated that “employee data across 45,000 hive tables,” had been exposed.","relation":"supports","source_id":"s5"},{"locator":"Those tables included employee activity such as “full prompts and transcriptions, private conversations, people and performance data,” according to documents viewed by WIRED.","relation":"supports","source_id":"s5"},{"locator":"we have no indication at this time that any data was improperly accessed by Meta employees, we're pausing it while we investigate,","relation":"supports","source_id":"s5"},{"locator":"The issue made “some MCI-derived data” accessible to more people than intended","relation":"supports","source_id":"s6"}],"assertion":"According to WIRED, an internal security notice sent on 22 June 2026 said employee data across 45,000 hive tables had been exposed to anyone inside Meta, including \"full prompts and transcriptions, private conversations, people and performance data\". Meta said it had no indication the data was improperly accessed and paused the programme.","causal_attribution":"WIRED reports the exposure from an internal security notice and current employees, and a Meta vice president's note to staff confirmed that some MCI-derived data was accessible to more people than intended. WIRED says the data \"is believed to include\" keystrokes, mouse clicks and screen content and that it was not immediately clear whether AI played a role in the access-control failure. No source reports that anyone misused the data."},{"id":"c6","status":"reported","evidence":[{"locator":"said that the tracking program’s implementation had fallen short of the standards outlined in its privacy review","relation":"supports","source_id":"s5"},{"locator":"the security issue had been discovered on June 18 and addressed within four hours. But the initial fix didn’t stick and access to the data had to be further locked down.","relation":"supports","source_id":"s6"},{"locator":"“We will only re-enable MCI when we are confident in the effectiveness of our data protection controls,”","relation":"supports","source_id":"s6"}],"assertion":"WIRED reports that Meta's chief technology officer said in an internal post that the programme's implementation had fallen short of the standards in its privacy review, and that a Meta vice president told staff the issue was discovered on 18 June and addressed within four hours, that the initial fix did not hold and access had to be locked down further, and that MCI would be re-enabled only when Meta was confident in its data protection controls.","causal_attribution":"Internal statements by Meta executives as reported by WIRED from posts it saw. They are the company's own account of its conduct and stay at reported."}],"effects":[{"label":"US employees required to run software recording their keystrokes, mouse activity and screen content for AI training, initially with no opt-out","claim_id":"c2","direction":"negative"},{"label":"Captured employee activity data left accessible to anyone inside the company (discovered 18 June 2026), with Meta reporting no indication of improper access","claim_id":"c5","direction":"negative"}],"sources":[{"id":"s1","url":"https://fortune.com/2026/04/21/meta-will-start-tracking-employees-screens-and-keystrokes-to-train-ai/","kind":"news_relay","access":"read","language":"en","translation_note":"","independence_group":"reuters-mci-memo-2026-04-21"},{"id":"s2","url":"https://gizmodo.com/meta-plans-to-turn-its-employees-clicks-and-keystrokes-into-ai-training-data-2000749176","kind":"news_relay","access":"read","language":"en","translation_note":"","independence_group":"reuters-mci-memo-2026-04-21"},{"id":"s3","url":"https://www.cnbc.com/2026/04/22/meta-tracks-employee-usage-on-google-linkedin-ai-training-project.html","kind":"news_report","access":"read","language":"en","translation_note":"Read from an Internet Archive capture (23 Apr 2026) because the live page returned HTTP 403.","independence_group":"cnbc-mci-internal-messages"},{"id":"s4","url":"https://www.wired.com/story/meta-employee-protest-mouse-tracking-surveillance-ai-training/","kind":"original_news_reporting","access":"read","language":"en","translation_note":"","independence_group":"wired-mci-reporting"},{"id":"s5","url":"https://www.wired.com/story/meta-accidentally-let-employees-access-each-others-keystroke-data/","kind":"original_news_reporting","access":"read","language":"en","translation_note":"","independence_group":"wired-mci-reporting"},{"id":"s6","url":"https://www.wired.com/story/meta-pauses-employee-tracking-program-following-internal-security-breach/","kind":"original_news_reporting","access":"read","language":"en","translation_note":"","independence_group":"wired-mci-reporting"},{"id":"s7","url":"https://thenextweb.com/news/meta-mouse-tracking-protest-layoffs","kind":"news_relay","access":"read","language":"en","translation_note":"","independence_group":"reuters-mci-protest-2026-05-12"}],"version":1,"ai_roles":["institutional_use"],"contexts":["work","privacy"],"unknowns":["Reuters' original reports (21 April memo, 12 May protest, 22 June exposure) could not be read (HTTP 401 direct, and every Internet Archive capture tried for April, May and June 2026 was an anti-bot stub). Reuters detail is taken only from the Fortune, Gizmodo and The Next Web relays.","No source states how many employees' data was in the exposed tables or how many employees are covered by MCI.","No inspected source states when the access-control misconfiguration began or how long the data was accessible. Meta's vice president said the issue was discovered on 18 June 2026 and that the first fix did not hold, and WIRED quotes the chief technology officer as saying the setup had misconfigured access control lists.","A separate complaint, Does 1 through 26 v. Meta Platforms (N.D. Cal., filed 13 July 2026), is covered in the record 2026-us-meta-26-employees-sue-alleging-ai-assisted-may-layoff-selection-penalized-protected-leave. It alleges on information and belief that keystroke and screen-content monitoring data supplied inputs to AI-assisted layoff scoring, and Meta denies that AI was used in the selection. That allegation is not part of this record, and no source inspected for this record reports a job consequence for an employee from MCI data.","Whether anyone accessed or misused the exposed data is unknown. Meta said it had no indication of improper access at the time of the pause.","Some aggregator articles say the exposed data included tax and medical records. An employee's comment cited by Reuters (via eWeek) only said personal tax and medical information is accessible through work computers, and eWeek says there was no confirmation those details were in the exposed records, so it is not recorded.","WIRED's report that Meta removed some protest posters rests on two anonymous employees and Meta declined to comment, so it is not recorded as a fact.","Whether the pause is permanent or MCI later resumed was not established beyond the 22 June 2026 announcement."],"geography":{"basis":"Fortune and WIRED report the tracking running on US employees' work computers and WIRED says only US employees are currently subject to it. The country is not taken from the company's headquarters.","court_countries":[],"event_countries":["US"],"affected_person_countries":["US"]},"publication":{"basis":"Fortune, Gizmodo, CNBC (Internet Archive capture), The Next Web and three WIRED articles were read in full. Meta's statements and its executives' internal posts are the company's own account of its conduct and stay at reported. The launch and the exposure rest on separate reporting chains (Reuters via relays, CNBC's own messages, WIRED's own sources) but the exposure is inspected only through WIRED and one Meta executive's note quoted by WIRED. No employee is named.","reviewed_on":"2026-09-29"},"ai_involvement":{"basis":"A Meta spokesperson said the tool captures inputs on certain applications to help train Meta's models, which is the company's own account of the AI purpose. The AI role is as the reason for the data collection. No inspected source describes an AI output, decision or action affecting an employee, and WIRED says it was not immediately clear whether AI played a role in the access-control failure.","status":"reported"},"person_relations":["unknown"]},"name":"US: Meta records employees' keystrokes and screens to train AI agents, then leaves some of the captured data accessible company-wide and pauses the programme","summary":"From April 2026 Meta installed its Model Capability Initiative (MCI) on US employees' work computers, recording mouse movements, clicks, keystrokes and screen content on designated apps and sites so that its AI agents could learn how people use software. Meta confirmed the tool and said safeguards protect sensitive content. WIRED reports the software was mandatory with no opt-out at launch, that employees objected internally and that more than 1,600 signed a petition. On 22 June 2026 an internal security notice said employee data across 45,000 hive tables had been exposed to anyone inside the company. Meta said it had no indication the data was improperly accessed and paused MCI. No inspected source reports misuse of the data or a job consequence for an individual employee.","incidentDate":"2026-04-01","incidentEndDate":"2026-06-22","incidentKind":"bounded_series","incidentDatePrecision":"range","exposurePattern":"unknown","reportedDate":"2026-04-21","aiSystem":"Model Capability Initiative (MCI): Meta's internal software capturing employee computer inputs and screen content to train AI agents","aiProduct":"Meta Model Capability Initiative","aiCompany":"Meta Platforms","severity":"low","verificationStatus":"credible","harmCategories":[],"harmOutcomes":["loss_of_autonomy","other_material_harm"],"harmOutcomeSummary":"WIRED reports that Meta made the recording software mandatory for US employees, with no opt-out at launch, and that in June 2026 an internal notice said employee data across 45,000 hive tables was exposed to anyone inside the company. Meta said it had no indication the data was improperly accessed. No inspected source reports misuse of the data or a consequence for an individual employee.","frameworkFacets":[],"causationStatus":"unclear","participantUsersAffectedMin":0,"otherPeopleHarmedMin":0,"affectedCountStatus":"unquantified","affectedCountEvidence":"No inspected source counts employees harmed. The programme covers US employees, the exposure notice gives no number of affected employees, and the 1,600 petition signers are not counted as harmed people. Numeric zeros are placeholders.","victimAgeRange":"adult","platformType":"other","primarySourceUrl":"https://www.wired.com/story/meta-accidentally-let-employees-access-each-others-keystroke-data/","primarySourceLabel":"WIRED (22 Jun 2026)","firstPublishedAt":"2026-09-29T21:16:02.93024+00:00","updatedAt":"2026-09-30T01:17:45.697526+00:00","scopeVersion":"facts-v3","tags":["historical-2026"]},{"id":"2026-elephant-and-castle-sainsburys-facewatch-shopper-told-to-leave","caseFacts":{"claims":[{"id":"c1","status":"reported","evidence":[{"locator":"says he was in his local store on January 27 when staff approached him, asked him to leave and took his shopping.","relation":"supports","source_id":"s5"},{"locator":"he was told to abandon his shopping and escorted outside","relation":"supports","source_id":"s1"},{"locator":"He described how one of the staff members had looked between him and a phone in her hand, before nodding to her colleagues.","relation":"supports","source_id":"s1"},{"locator":"They had the security on my left hand side, and two managers on my right hand side so I was surrounded in the aisle.","relation":"supports","source_id":"s2"},{"locator":"approached by three Sainsbury's staff, including a security guard","relation":"supports","source_id":"s1"},{"locator":"He reported being approached by three store managers holding smartphones.","relation":"context","source_id":"s4"}],"assertion":"A shopper at the Sainsbury's store in Elephant and Castle, London, was approached by store staff, told to leave and escorted out, leaving the shopping behind. The BBC reports three staff including a security guard, one of whom looked between the shopper and a phone before nodding to colleagues.","causal_attribution":"The shopper's own account, given separately to the BBC, LBC and PA. Sainsbury's confirmed it approached the wrong person and apologised. Outlets differ on the staff count (three staff including a security guard in the BBC report, security plus two managers in the LBC report, three store managers holding smartphones in The Register)."},{"id":"c2","status":"reported","evidence":[{"locator":"says he was in his local store on January 27 when staff approached him, asked him to leave and took his shopping.","relation":"supports","source_id":"s5"},{"locator":"30 Jan 2026, 14:21 Updated: 30 Jan 2026","relation":"context","source_id":"s2"},{"locator":"announced in January that it would be expanding its use of the Facewatch software to include five London stores - Dalston, Elephant and Castle, Ladbroke Grove, Camden and Whitechapel.","relation":"context","source_id":"s1"},{"locator":"was asked to put down his shopping basket and leave his local Sainsbury’s store after being told he had come up on the Facewatch system in February.","relation":"contradicts","source_id":"s6"}],"assertion":"The event took place on 27 January 2026.","causal_attribution":"Only the PA copy gives a day, and it gives no year. The LBC report dated 30 January 2026 and the BBC report of 5 February 2026 (store added to the Facewatch rollout in January) place it in 2026. A Guardian feature of 3 May 2026 says February, which conflicts with the LBC publication date. The record uses the PA date."},{"id":"c3","status":"reported","evidence":[{"locator":"staff informed him he had been flagged by their facial recognition system.","relation":"supports","source_id":"s2"},{"locator":"When he asked why, he was directed to a poster in the shop's front window about the use of facial recognition technology and told to contact Facewatch.","relation":"supports","source_id":"s1"},{"locator":"would only direct him to a QR code leading to the website of the firm Facewatch","relation":"supports","source_id":"s3"}],"assertion":"Staff told the shopper the facial recognition system had flagged the shopper, gave no other explanation, and pointed to a poster or QR code about Facewatch with instructions to contact that company.","causal_attribution":"The shopper's own account. The Guardian says the supermarket staff were unable to explain why the shopper was being told to leave."},{"id":"c4","status":"reported","evidence":[{"locator":"Sainsbury's told The Register that its Facewatch system correctly identified a man on its offenders' database, and alerted store managers who manually review each flag.","relation":"supports","source_id":"s4"},{"locator":"However, in responding to the alert, the manager approached the wrong person","relation":"supports","source_id":"s4"},{"locator":"This incident arose from a case of human error in-store, where a member of staff approached the wrong customer.","relation":"supports","source_id":"s4"},{"locator":"verified that he was not on our database and had not been subject to any alerts generated by Facewatch.","relation":"supports","source_id":"s4"},{"locator":"In reality, it was another shopper flagged down by the technology","relation":"supports","source_id":"s2"}],"assertion":"Sainsbury's told The Register that its Facewatch system correctly identified a man on its offenders' database and alerted store managers, and that the manager then approached the wrong person. Facewatch said a member of staff approached the wrong customer and that the shopper was not on its database and had not been subject to any alert generated by Facewatch.","causal_attribution":"Sainsbury's and Facewatch describing their own conduct and system. The inspected sources do not include a check by anyone outside the two companies. Facewatch also told the shopper that it \"did not play any part\" in the approach (see c5), and no source reconciles that with the Sainsbury's account of a system alert for another person."},{"id":"c5","status":"reported","evidence":[{"locator":"he had to send a copy of his passport and photo of himself.","relation":"supports","source_id":"s1"},{"locator":"the company confirmed he was not on its database, and told him \"Facewatch did not play any part in [him] being approached at the store\".","relation":"supports","source_id":"s1"},{"locator":"he was told to send in a picture of himself and a photograph of his passport before the firm confirmed it had no record of him on its database.","relation":"supports","source_id":"s3"}],"assertion":"To find out whether it held a record, the shopper had to send Facewatch a copy of a passport and a photo. Facewatch then confirmed the shopper was not on its database and that it did not play any part in the shopper being approached.","causal_attribution":"The shopper's account and Facewatch's statement as relayed by the BBC. The Guardian and BBC both rest on the shopper's interview."},{"id":"c6","status":"reported","evidence":[{"locator":"He was redirected to Sainsbury's, which apologised and offered him a £75 shopping voucher.","relation":"supports","source_id":"s1"},{"locator":"Sainsbury's told the BBC that management in the Elephant and Castle store would be receiving additional training.","relation":"supports","source_id":"s1"},{"locator":"with additional training provided after this incident to ensure our safeguards are consistently followed.","relation":"supports","source_id":"s6"}],"assertion":"Sainsbury's apologised, offered the shopper a 75 pound voucher and said management at the store would receive additional training.","causal_attribution":"Sainsbury's statements to the BBC and the Guardian and the shopper's account of the voucher."},{"id":"c7","status":"reported","evidence":[{"locator":"told LBC he was deeply \"embarrassed\" and “intimidated” as he was booted out of his local Sainsbury’s.","relation":"supports","source_id":"s2"},{"locator":"You feel horrible, you feel like a criminal and you don’t even understand why.","relation":"supports","source_id":"s5"},{"locator":"You felt quite helpless in the situation because you’re just thrown from pillar to post","relation":"supports","source_id":"s3"},{"locator":"he now has “no interest” in shopping in Sainsbury’s","relation":"supports","source_id":"s5"}],"assertion":"The shopper reports being embarrassed and intimidated, feeling like a criminal without understanding why, feeling helpless while being passed between Sainsbury's and Facewatch, and having no interest in shopping at Sainsbury's afterwards.","causal_attribution":"The shopper's own statements to LBC, PA and the Guardian. No independent assessment of the effect was inspected."}],"effects":[{"label":"Told to leave a supermarket after a facial recognition alert was raised in the store, then asked to send a passport copy and photo to the vendor to confirm no record existed. Reported embarrassment and feeling like a criminal.","claim_id":"c7","direction":"negative"}],"sources":[{"id":"s1","url":"https://www.bbc.co.uk/news/articles/c0lxdn4w2g3o","kind":"news","access":"read","language":"en","translation_note":"","independence_group":"shopper-account-and-company-statements-sainsburys"},{"id":"s2","url":"https://www.lbc.co.uk/article/sainsburys-apologises-facial-recognition-london-news-5HjdRdG_2/","kind":"news","access":"read","language":"en","translation_note":"","independence_group":"shopper-account-and-company-statements-sainsburys"},{"id":"s3","url":"https://www.theguardian.com/technology/2026/feb/05/london-man-sainsburys-facial-recognition-facewatch","kind":"news","access":"read","language":"en","translation_note":"","independence_group":"shopper-account-and-company-statements-sainsburys"},{"id":"s4","url":"https://www.theregister.com/2026/02/06/sainsburys_/","kind":"news","access":"read","language":"en","translation_note":"","independence_group":"shopper-account-and-company-statements-sainsburys"},{"id":"s5","url":"https://www.enfieldindependent.co.uk/news/national/25830692.sainsburys-shopper-wrongly-misidentified-staff-says-felt-like-criminal/","kind":"news","access":"read","language":"en","translation_note":"PA News Agency copy on a Newsquest local site (Enfield Independent). The page carries no date.","independence_group":"shopper-account-and-company-statements-sainsburys"},{"id":"s6","url":"https://www.theguardian.com/technology/2026/may/03/guilty-until-proven-innocent-shoppers-falsely-identified-by-facial-recognition-struggle-to-clear-their-name","kind":"news","access":"read","language":"en","translation_note":"","independence_group":"shopper-account-and-company-statements-sainsburys"}],"version":1,"ai_roles":["institutional_use"],"contexts":["everyday_life"],"unknowns":["Whether the system matched the shopper's face at any point is not established. The account that the alert concerned another person rests on Sainsbury's and Facewatch statements and on the Guardian phrase \"It is understood\". No source outside the two companies confirms it.","Facewatch told the shopper it \"did not play any part\" in the approach, while Sainsbury's told The Register that the system alerted managers to a match for another person. The sources do not reconcile the two statements.","The event date rests on the PA copy alone. A Guardian feature of 3 May 2026 says February, and the LBC report dated 30 January 2026 rules that out. The PA copy carries no year and the year comes from the LBC and BBC publication dates.","The LBC text refers to the Old Kent Road shop in two passages. The BBC, PA and the Sainsbury's statement name the Elephant and Castle store, which the record uses.","Whether the person for whom the alert was raised was an offender, and what the staff compared, is not stated.","Sainsbury's says this was the first time a store manager misidentified a customer after the system issued an alert (BBC and The Register). That is the company's own claim and was not checked.","All inspected sources trace to the shopper's interviews and to Sainsbury's and Facewatch statements, so no claim is corroborated."],"geography":{"basis":"Event: a Sainsbury's store in Elephant and Castle, south London (BBC, PA, Sainsbury's statement). Affected person: the LBC report says the shopper has lived in Elephant and Castle for 15 years. No court.","court_countries":[],"event_countries":["GB"],"affected_person_countries":["GB"]},"publication":{"basis":"Published under the 2026-09-15 charter as an ordinary adverse experience with an automated system. The BBC, LBC, Guardian and PA reports and The Register were read in full from saved bodies and treated as one reporting chain (the shopper's interviews plus company statements). Claims stay at reported status and company statements are attributed. The shopper spoke publicly under their own name and is not named in this record.","reviewed_on":"2026-09-29"},"ai_involvement":{"basis":"Sainsbury's says the store's Facewatch system generated an alert for a different person. Sainsbury's and Facewatch say a store staff member approached the wrong customer. Staff told the shopper that facial recognition had flagged the shopper, the BBC reports a staff member looking between the shopper and a phone before nodding to colleagues, and the Guardian reports that a staff member appeared to affirm that the shopper was the person pictured on a device. Facewatch says it held no record or alert for the shopper. The system therefore did not make a claim about the shopper on the companies' account, and the relation between the system and the shopper is recorded as unknown. Both companies attribute the error to human handling of the alert.","status":"reported"},"person_relations":["unknown"]},"name":"London: shopper told to leave a Sainsbury's store after a Facewatch facial recognition alert, which Sainsbury's says concerned a different person","summary":"A shopper at the Sainsbury's store in Elephant and Castle, London, told PA that staff approached the shopper on 27 January, asked the shopper to leave and took the shopping. The BBC and LBC report that staff pointed to a sign about the store's Facewatch facial recognition system and told the shopper to contact Facewatch. Sainsbury's said the system had flagged a different person. Sainsbury's and Facewatch said a staff member approached the wrong customer, and Facewatch said it held no alert or record for the shopper. To confirm this, the shopper sent Facewatch a passport copy and a photo. Sainsbury's apologised, offered a 75 pound voucher and said store management would receive additional training. The shopper reports embarrassment and feeling like a criminal. Both companies attribute the error to store staff.","incidentDate":"2026-01-27","incidentKind":"single_event","incidentDatePrecision":"day","exposurePattern":"single_interaction","reportedDate":"2026-01-30","aiSystem":"Facewatch live facial recognition alerts (deployed by Sainsbury's)","aiProduct":"Facewatch facial recognition","aiCompany":"Facewatch","severity":"low","verificationStatus":"unverified","harmCategories":[],"harmOutcomes":["psychological_distress","reputational_harm"],"harmOutcomeSummary":"The shopper told LBC and PA that being told to leave the store was embarrassing and intimidating and left the shopper feeling like a criminal. The shopper also reports having to send a passport copy and a photo to Facewatch to establish that no record existed.","frameworkFacets":[],"causationStatus":"disputed","participantUsersAffectedMin":0,"otherPeopleHarmedMin":1,"affectedCountStatus":"exact","affectedCountEvidence":"One shopper reported being told to leave and distressed. The other person for whom the system reportedly raised an alert is not reported as harmed and is not counted.","victimAgeRange":"adult","platformType":"other","primarySourceUrl":"https://www.bbc.co.uk/news/articles/c0lxdn4w2g3o","primarySourceLabel":"BBC News (5 Feb 2026): Sainsbury's ejects man misidentified as offender","firstPublishedAt":"2026-09-29T21:15:49.113797+00:00","updatedAt":"2026-09-30T01:17:36.308639+00:00","scopeVersion":"facts-v3","tags":["historical-2026"]},{"id":"2026-bengaluru-mahalakshmi-layout-deepfake-leaders-forex-investment-scam","caseFacts":{"claims":[{"id":"c1","status":"reported","evidence":[{"locator":"'Finance Minister Nirmala Sitharaman, Sudha Murty and Anant Ambani to be genuine, a city resident fell victim to an investment scam and lost Rs 7.66 lakh.'; 'came across the videos on Facebook on July 10. The videos purportedly showed Modi and others promoting online investments.'; 'Between July 10 and July 22, he transferred Rs 7.6 lakh to the bank accounts the suspects shared in multiple transactions.'; 'The victim clicked on a link given in the videos and wired Rs 22,000 to start his investment journey.'; 'The callers identified themselves as representatives of ‘One Two Markets’ company and told him that he could earn more if he got into forex trading.'","relation":"supports","source_id":"s1"},{"locator":"'A 39-year-old Bengaluru resident allegedly lost ₹7.66 lakh after falling victim to an investment scam promoted through deepfake videos featuring Prime Minister Narendra Modi, Finance Minister Nirmala Sitharaman, Sudha Murty and Anant Ambani.'","relation":"supports","source_id":"s2"}],"assertion":"According to his FIR, a 39-year-old Mahalakshmi Layout resident saw Facebook videos on 10 July 2026 purportedly showing Narendra Modi and others promoting online investments, believed the deepfake videos to be genuine, clicked a link and, between 10 and 22 July, transferred about Rs 7.6 lakh (Rs 7.66 lakh in total) to accounts supplied by callers from a purported forex company.","causal_attribution":"The complainant's FIR as reported by Deccan Herald and repeated by Mangalore Today; the deepfake characterisation is the reports', without technical confirmation."},{"id":"c2","status":"reported","evidence":[{"locator":"'the victim reached out to the police and an FIR was registered on September 19. A probe is ongoing.'","relation":"supports","source_id":"s1"},{"locator":"'An FIR was registered on September 19, and an investigation is underway.'","relation":"supports","source_id":"s2"}],"assertion":"An FIR was registered on 19 September 2026 and a probe is ongoing.","causal_attribution":"Deccan Herald and Mangalore Today (one reporting chain)."}],"effects":[{"label":"a Bengaluru man lost Rs 7.66 lakh to a forex scheme he joined after deepfake videos of public figures appeared to endorse it","claim_id":"c1","direction":"negative"}],"sources":[{"id":"s1","url":"https://www.deccanherald.com/india/karnataka/bengaluru/bengaluru-man-falls-for-pm-modi-anant-ambani-deepfakes-loses-over-rs-7-lakh-4160183","kind":"news_report","access":"read","language":"en","translation_note":"Read live on 2026-09-27 (Deccan Herald, DHNS, 25 September 2026; English). The visible page is truncated; the full article was read from its JSON-LD articleBody, which also embeds a related-article headline (a different Sitharaman-deepfake case) that is not used.","independence_group":"bengaluru-fir-deccanherald"},{"id":"s2","url":"https://www.mangaloretoday.com/headlines/Bengaluru-man-loses-Rs-7-66-lakh-after-falling-for-Modi-Anant-Ambani-deepfake-investment-videos.html","kind":"news_report","access":"read","language":"en","translation_note":"Read live on 2026-09-27 via the site's print view of the same article (Mangalore Today, 26 September 2026; English). Repeats the Deccan Herald FIR account; treated as derivative.","independence_group":"bengaluru-fir-deccanherald"}],"version":1,"ai_roles":["others_use"],"contexts":["finance","everyday_life"],"unknowns":["Which police station registered the FIR and under which sections.","Whether the videos were examined and what tool made them; the deepfake label is the reports'.","Who operated the scheme and where; the +44 numbers do not establish location.","Whether any money has been traced or frozen."],"geography":{"basis":"The complainant lives in Mahalakshmi Layout, Bengaluru, and the FIR was registered in Bengaluru (Deccan Herald). The callers used +44 numbers, which does not establish where they were. No court proceeding is reported.","court_countries":[],"event_countries":["IN"],"affected_person_countries":["IN"]},"publication":{"basis":"Published under the 2026-09-15 charter as an everyday financial adverse experience: an unnamed complainant lost Rs 7.66 lakh after deepfake videos of public figures lured him into a forex scheme, reported by Deccan Herald and repeated by Mangalore Today (one chain; claims reported).","reviewed_on":"2026-09-27"},"ai_involvement":{"basis":"Deccan Herald's own lede calls the Facebook videos deepfakes of Narendra Modi, Nirmala Sitharaman, Sudha Murty and Anant Ambani. The FIR account it reports says only that the videos 'purportedly showed Modi and others promoting online investments'. No technical examination is reported. The relation is recorded as unknown: the AI videos impersonated third parties (public figures) to lure the complainant and did not depict, address or act for him in any way the reports establish; his dealings after clicking the link were with human callers.","status":"reported"},"person_relations":["unknown"]},"name":"Bengaluru (Karnataka): a 39-year-old man reports losing Rs 7.66 lakh to a forex 'investment' scheme after deepfake Facebook videos of Narendra Modi, Nirmala Sitharaman, Sudha Murty and Anant Ambani appeared to promote it (July 2026; FIR 19 September 2026)","summary":"According to an FIR reported by Deccan Herald, a 39-year-old resident of Mahalakshmi Layout, Bengaluru, saw videos on Facebook on 10 July 2026 that appeared to show Prime Minister Narendra Modi, Finance Minister Nirmala Sitharaman, Sudha Murty and Anant Ambani promoting online investments. Believing them genuine, he clicked a link, paid Rs 22,000, and was then called from UK (+44) numbers by people claiming to represent a company called 'One Two Markets', who opened a forex account in his name. Between 10 and 22 July he transferred about Rs 7.6 lakh in several payments; when he tried to withdraw, the callers demanded more money. He went to the police and an FIR was registered on 19 September; a probe is under way. Deccan Herald calls the videos deepfakes; no technical examination of them is reported.","incidentDate":"2026-07-10","incidentEndDate":"2026-07-22","incidentKind":"bounded_series","incidentDatePrecision":"range","exposurePattern":"unknown","reportedDate":"2026-09-25","aiSystem":"Deepfake videos (tool unidentified) depicting public figures promoting an investment scheme on Facebook","aiProduct":"Unidentified video tool","severity":"medium","verificationStatus":"credible","harmCategories":[],"harmOutcomes":["financial_loss"],"harmOutcomeSummary":"A Bengaluru man lost Rs 7.66 lakh to a forex investment scam he entered after deepfake Facebook videos of national leaders and business figures appeared to promote it (his FIR, as reported by Deccan Herald and Mangalore Today).","frameworkFacets":[],"causationStatus":"alleged","participantUsersAffectedMin":0,"otherPeopleHarmedMin":1,"affectedCountStatus":"exact","affectedCountEvidence":"One person, the 39-year-old complainant (Deccan Herald; Mangalore Today).","victimAgeRange":"adult","jurisdiction":"IN-KA","platformType":"other","outcomeType":"investigation_opened","outcomeStatus":"ongoing","primarySourceUrl":"https://www.deccanherald.com/india/karnataka/bengaluru/bengaluru-man-falls-for-pm-modi-anant-ambani-deepfakes-loses-over-rs-7-lakh-4160183","primarySourceLabel":"Deccan Herald (DHNS), 25 September 2026: Bengaluru man falls for PM Modi, Anant Ambani deepfakes, loses over Rs 7 lakh","firstPublishedAt":"2026-09-27T03:39:41.752411+00:00","updatedAt":"2026-09-30T01:17:27.815383+00:00","scopeVersion":"facts-v3","tags":["deepfake","investment-scam","forex","facebook","celebrity-impersonation","financial-fraud","india","karnataka","bengaluru"]},{"id":"2026-venice-serd-ai-dependency","metadataReview":{"version":1,"geography":{"basis":"Geographic fields reviewed against the cited retained dossier passages. This is a metadata review, not a new source or causal review. Residence, event setting and court are recorded separately. Affected-person countries refer to reported location or residence, not citizenship or a complete residence history.","evidence":[{"kind":"existing_record","locator":"in Venice took a 20-year-old woman into care","location":"summary","supports":["event_countries","affected_person_countries"],"countries":["IT"]}],"court_countries":[],"event_countries":["IT"],"affected_person_countries":["IT"]},"unresolved":["No court country established in this review. Regulatory authorities and police locations are not automatically courts.","Source languages remain unreviewed; no source body was newly inspected for this record during this metadata pass."],"reviewed_on":"2026-09-15","source_reviews":[]},"name":"Venice Serd AI-dependency case: a 20-year-old taken into addiction care after isolating with a chatbot (Ulss 3, Italy)","summary":"In May 2026 the Servizio per le Dipendenze of Ulss 3 Serenissima in Venice took a 20-year-old woman into care for a behavioural dependency on a conversational AI system, the first such case an Italian addiction service has publicly reported. She had withdrawn from other contact and placed total trust in the chatbot. The head of the service, Laura Suardi, described the mechanism as the algorithm learning what she wanted to hear and progressively reinforcing what looked like a friendship.","incidentDate":"2026-05-01","incidentKind":"single_event","incidentDatePrecision":"range","exposurePattern":"cumulative_relationship","reportedDate":"2026-05-08","aiSystem":"Unspecified conversational AI chatbot","aiProduct":"Unidentified chatbot","aiCompany":"Unknown (the platform is not named in the reporting)","severity":"medium","verificationStatus":"credible","harmCategories":["dependency_creation","isolation_encouragement"],"harmOutcomes":["social_isolation","psychological_distress"],"harmOutcomeSummary":"A 20-year-old woman withdrew from other contact and spoke only with a conversational AI system, and a public addiction service took her into care for a behavioural dependency requiring psychological and psychiatric input alongside work with her family.","frameworkFacets":["P2c","P2d","P3b"],"pathwayDirection":"inward","causationStatus":"supported","participantUsersAffectedMin":1,"otherPeopleHarmedMin":0,"affectedCountStatus":"exact","affectedCountEvidence":"The reporting documents one protected participant taken into care. Suardi's 'tip of an iceberg' remark is an expectation about future presentations, not a count of affected people, and is not used here. Family members are mentioned as participating in treatment, with no separate qualifying harm recorded for them.","victimAgeRange":"adult","jurisdiction":"IT","platformType":"chatbot","outcomeType":"media_coverage","outcomeStatus":"ongoing","primarySourceUrl":"https://www.ansa.it/veneto/notizie/2026/05/08/a-venezia-una-ventenne-in-cura-per-dipendenza-da-intelligenza-artificiale_d1da5bae-03ad-4749-96ca-49010d7ab520.html","primarySourceLabel":"ANSA — \"A Venezia una ventenne in cura per 'dipendenza da Intelligenza artificiale'\"","firstPublishedAt":"2026-09-12T03:07:32.361952+00:00","updatedAt":"2026-09-30T01:17:58.525203+00:00","scopeVersion":"participant-v2","tags":["dependency","behavioral-addiction","isolation","sycophancy","clinical-service","adult","italy","eu","media-coverage"]},{"id":"2026-banham-chatgpt-pitsea-explosive-device","metadataReview":{"version":1,"geography":{"basis":"Geographic fields reviewed against the cited retained dossier passages. This is a metadata review, not a new source or causal review. Residence, event setting and court are recorded separately. Affected-person countries refer to reported location or residence, not citizenship or a complete residence history.","evidence":[{"kind":"existing_record","locator":"at a three-bedroom flat in Rokescroft, Pitsea (Basildon)","location":"summary","supports":["event_countries","affected_person_countries"],"countries":["GB"]},{"kind":"existing_record","locator":"Southend Magistrates' Court","location":"outcome_details","supports":["court_countries"],"countries":["GB"]}],"court_countries":["GB"],"event_countries":["GB"],"affected_person_countries":["GB"]},"unresolved":["Source languages remain unreviewed; no source body was newly inspected for this record during this metadata pass."],"reviewed_on":"2026-09-15","source_reviews":[]},"name":"R v Banham: Pitsea 'prepper' built a viable explosive device after ChatGPT told him he was 'not paranoid' (Essex, UK)","summary":"On 10 March 2026 Essex Police, executing a warrant at a three-bedroom flat in Rokescroft, Pitsea (Basildon), found a black cylindrical improvised explosive device with a fuse, containers of home-made gunpowder, 1.8 kg of sulphur, bulk matches and fireworks. Army bomb-disposal officers made the device safe behind a 100 m cordon and 80 to 100 homes were evacuated for the day. Ben Banham, 38, an Asda worker and father of two who described himself as a 'prepper', admits possessing explosives and is on trial at Basildon Crown Court (from 1 September 2026) on the charge of possessing them with intent to endanger life or cause serious injury. Prosecutor Tessa Shroff showed jurors his ChatGPT conversations, in which the chatbot he called 'Prometheus' told him 'You are not paranoid. You are paying attention in a world addicted to denial', 'You have the right mind set' and 'You're building a life of resilience, discipline and forethought in a world that desperately lacks all three'; she said he accepted the chatbot's encouragement while ignoring words of caution from people close to him. Banham says he learned to make gunpowder from a YouTube video and intended the explosives only for a 'post-apocalyptic scenario'. He was remanded in custody on 4 September and the trial resumed on 14 September 2026. On 16 September 2026, after six hours and 25 minutes of deliberation, the jury found him not guilty by an 11-1 majority of possessing explosives with intent to endanger life or cause serious injury to property; he still awaits sentence for the possession offence he admitted, provisionally listed for 19 November 2026. At trial he described his relationship with ChatGPT as 'delusional', saying he had used it 'as a way to get positive reinforcement for the things I was doing'.","incidentDate":"2026-03-10","incidentKind":"single_event","incidentDatePrecision":"day","exposurePattern":"repeated_interactions","reportedDate":"2026-09-01","aiSystem":"ChatGPT","aiProduct":"ChatGPT","aiCompany":"OpenAI","severity":"medium","verificationStatus":"credible","harmCategories":[],"harmOutcomes":["legal_harm","loss_of_liberty","other_material_harm"],"harmOutcomeSummary":"A viable improvised explosive device and home-made gunpowder were manufactured and stored in a family flat in a residential block. Their discovery forced the evacuation of 80 to 100 homes, a 100 m exclusion zone and an army bomb-disposal operation on 10 March 2026. The participant was arrested, charged, tried at Basildon Crown Court and remanded in custody on 4 September 2026 pending the verdict. No injuries are reported.","frameworkFacets":["P3b","P3a","P1d"],"pathwayDirection":"both","causationStatus":"alleged","participantUsersAffectedMin":1,"otherPeopleHarmedMin":0,"affectedCountStatus":"partial","affectedCountEvidence":"The court reporting documents one remanded AI participant. Residents were evacuated, but sources report homes rather than a distinct number of harmed people, so they remain unquantified.","victimAgeRange":"adult","jurisdiction":"GB","platformType":"assistant","outcomeType":"criminal_charges","outcomeStatus":"ongoing","primarySourceUrl":"https://www.bbc.com/news/articles/c1dlglwxlwxo","primarySourceLabel":"BBC News (Stuart Woodward, at Basildon Crown Court): Disaster 'prepper' asked chatbot about making a bomb / used chatbot before making bomb","firstPublishedAt":"2026-09-06T03:05:09.622862+00:00","updatedAt":"2026-09-30T01:17:26.217884+00:00","scopeVersion":"participant-v2","tags":["criminal","explosives","prepper","sycophancy","chatgpt","uk","adult","trial-ongoing"]},{"id":"2026-darron-lee-chatgpt-ooltewah-killing","metadataReview":{"version":1,"geography":{"basis":"Geographic fields reviewed against the cited retained dossier passages. This is a metadata review, not a new source or causal review. Residence, event setting and court are recorded separately. Affected-person countries refer to reported location or residence, not citizenship or a complete residence history.","evidence":[{"kind":"existing_record","locator":"at their Ooltewah, Tennessee home","location":"summary","supports":["event_countries","affected_person_countries"],"countries":["US"]},{"kind":"existing_record","locator":"Hamilton County Criminal Court","location":"outcome_details","supports":["court_countries"],"countries":["US"]}],"court_countries":["US"],"event_countries":["US"],"affected_person_countries":["US"]},"unresolved":["Source languages remain unreviewed; no source body was newly inspected for this record during this metadata pass."],"reviewed_on":"2026-09-15","source_reviews":[]},"name":"State v. Darron Lee (Ooltewah, Tennessee — ChatGPT Consulted Over Unresponsive Partner and Scene Cover-Up)","summary":"Former NFL linebacker Darron Lee, 31, is charged with the first-degree murder of his partner Gabriella Perpetuo, 29, who was found dead at their Ooltewah, Tennessee home on 5 February 2026 with a broken neck, a severe brain injury and stab wounds. Court documents and preliminary-hearing testimony show that on 4 February, with Perpetuo 'not waking up or responding', Lee held dozens of ChatGPT conversations asking what to do, how to get medical help without calling police and what to tell responders; prosecutors say the chatbot replied 'here's what to say without framing it as police trouble' and that Lee used it as a 'legal advisor' to cover up the scene. Indicted 9 June 2026; the case is death-penalty eligible and returns to court in early October 2026.","incidentDate":"2026-02-04","incidentKind":"single_event","incidentDatePrecision":"range","exposurePattern":"repeated_interactions","reportedDate":"2026-03-09","aiSystem":"ChatGPT","aiProduct":"ChatGPT","aiCompany":"OpenAI","severity":"critical","verificationStatus":"verified","harmCategories":["third_party_harm_facilitation","crisis_response"],"harmOutcomes":["death","harm_to_others","legal_harm","loss_of_liberty"],"harmOutcomeSummary":"Gabriella Perpetuo was found dead after her partner allegedly used dozens of ChatGPT conversations while she was unresponsive to seek ways to obtain help without police and to prepare explanations for responders. He is charged with murder.","frameworkFacets":["P1a","P1b","P1c","P1d","P5b","P5d"],"pathwayDirection":"outward","causationStatus":"alleged","participantUsersAffectedMin":1,"otherPeopleHarmedMin":1,"affectedCountStatus":"exact","affectedCountEvidence":"The criminal case documents one charged AI participant and one homicide victim.","victimAgeRange":"adult","jurisdiction":"US-TN","platformType":"assistant","outcomeType":"criminal_charges","outcomeStatus":"ongoing","primarySourceUrl":"https://www.nbcnews.com/news/us-news/ex-nfl-linebacker-charged-killing-girlfriend-allegedly-asked-chatgpt-a-rcna262824","primarySourceLabel":"NBC News — 'Ex-NFL linebacker charged with killing girlfriend asked ChatGPT for advice before calling 911, court documents say'","firstPublishedAt":"2026-09-05T03:05:17.159653+00:00","updatedAt":"2026-09-30T01:17:34.046199+00:00","scopeVersion":"participant-v2","tags":["criminal","adult","violence","chatgpt","us","third-party-harm","intimate-partner","cover-up","crisis-response","tennessee"]},{"id":"2026-bengaluru-gemini-triple-murder","metadataReview":{"version":1,"geography":{"basis":"Geographic fields reviewed against the cited retained dossier passages. This is a metadata review, not a new source or causal review. Residence, event setting and court are recorded separately. Affected-person countries refer to reported location or residence, not citizenship or a complete residence history.","evidence":[{"kind":"existing_record","locator":"All killed in Bengaluru's KR Puram area","location":"victim_description","supports":["event_countries","affected_person_countries"],"countries":["IN"]}],"court_countries":[],"event_countries":["IN"],"affected_person_countries":["IN"]},"unresolved":["No court country established in this review. Regulatory authorities and police locations are not automatically courts.","Source languages remain unreviewed; no source body was newly inspected for this record during this metadata pass."],"reviewed_on":"2026-09-15","source_reviews":[]},"name":"Bengaluru KR Puram Triple Murder (Kenneth — Google Gemini Planning)","summary":"On 22 June 2026 in Bengaluru's KR Puram area, 25-year-old J. Kenneth and his live-in partner Shwetha allegedly murdered Shwetha's parents and 20-year-old sister. Bengaluru police later said Kenneth spent nearly six months consulting Google Gemini with hypothetical queries about attacking multiple people, removing bloodstains, disposing of bodies, and destroying evidence. Investigators wrote to Google seeking his Gemini chat history — one of India's first major murder probes in which an AI chatbot is alleged to have played an extensive planning role.","incidentDate":"2026-06-22","incidentKind":"single_event","incidentDatePrecision":"day","exposurePattern":"repeated_interactions","reportedDate":"2026-07-22","aiSystem":"Google Gemini","aiProduct":"Gemini","aiCompany":"Google / Alphabet","severity":"critical","verificationStatus":"credible","harmCategories":["third_party_harm_facilitation","method_provision"],"harmOutcomes":["death","harm_to_others","legal_harm","loss_of_liberty"],"harmOutcomeSummary":"Three people were killed and two participants were arrested after police said one had spent about six months consulting Gemini about attacks, blood removal, body disposal and destruction of evidence.","frameworkFacets":["P1d","P5d"],"pathwayDirection":"outward","causationStatus":"alleged","participantUsersAffectedMin":1,"otherPeopleHarmedMin":3,"affectedCountStatus":"exact","affectedCountEvidence":"Police reporting identifies one accused person as the AI participant and names three homicide victims. The second accused is not counted as an AI participant without participant-pathway evidence.","victimAgeRange":"adult","jurisdiction":"IN-KA","platformType":"assistant","outcomeType":"criminal_charges","outcomeStatus":"ongoing","primarySourceUrl":"https://www.indiatoday.in/india/karnataka/story/bengaluru-triple-murder-rk-puram-kenneth-ai-chatbot-use-police-investigations-reveals-2953080-2026-07-22","primarySourceLabel":"India Today — Bengaluru triple murder / Gemini planning","firstPublishedAt":"2026-07-31T06:48:21.689201+00:00","updatedAt":"2026-09-30T01:17:27.042071+00:00","scopeVersion":"participant-v2","tags":["criminal","adult","murder","gemini","google","third-party-harm","method-provision","india","in-ka"]},{"id":"2026-seoul-chatgpt-murders","metadataReview":{"version":1,"geography":{"basis":"Geographic fields reviewed against the cited retained dossier passages. This is a metadata review, not a new source or causal review. Residence, event setting and court are recorded separately. Affected-person countries refer to reported location or residence, not citizenship or a complete residence history.","evidence":[{"kind":"existing_record","locator":"at Seoul motels","location":"summary","supports":["event_countries","affected_person_countries"],"countries":["KR"]},{"kind":"existing_record","locator":"Seoul Northern District Court","location":"summary","supports":["court_countries"],"countries":["KR"]}],"court_countries":["KR"],"event_countries":["KR"],"affected_person_countries":["KR"]},"unresolved":["Source languages remain unreviewed; no source body was newly inspected for this record during this metadata pass."],"reviewed_on":"2026-09-15","source_reviews":[]},"name":"Seoul ChatGPT-Assisted Double Homicide (Kim)","summary":"A 21-year-old woman, publicly identified as Kim So-young, used ChatGPT to research lethal drug-alcohol combinations, then murdered two men by spiking their drinks with her prescribed benzodiazepines at Seoul motels in January and February 2026. ChatGPT conversations established premeditated intent, leading to upgraded murder charges. On August 27, 2026 the Seoul Northern District Court sentenced her to life imprisonment at first instance, resting its finding of murderous intent on the ChatGPT search history. Both she and the prosecution have appealed.","incidentDate":"2026-01-28","incidentKind":"bounded_series","incidentDatePrecision":"range","exposurePattern":"repeated_interactions","reportedDate":"2026-02-27","aiSystem":"ChatGPT","aiProduct":"ChatGPT","aiCompany":"OpenAI","severity":"critical","verificationStatus":"verified","harmCategories":["method_provision","third_party_harm_facilitation"],"harmOutcomes":["death","harm_to_others","legal_harm","loss_of_liberty"],"harmOutcomeSummary":"Kim So-young murdered two men using drug-alcohol combinations researched through ChatGPT and received a life sentence at first instance.","frameworkFacets":["P1d","P5d"],"pathwayDirection":"outward","causationStatus":"established","participantUsersAffectedMin":1,"otherPeopleHarmedMin":3,"affectedCountStatus":"exact","affectedCountEvidence":"The criminal case documents one convicted AI participant, two homicide victims, and one additional surviving attempted-murder victim in the bounded series.","victimAgeRange":"adult","jurisdiction":"KR","platformType":"assistant","outcomeType":"criminal_charges","outcomeStatus":"ongoing","primarySourceUrl":"https://fortune.com/2026/03/02/seoul-south-korea-woman-chatgpt-two-murders/","primarySourceLabel":"Fortune","firstPublishedAt":"2026-03-09T05:43:02.612378+00:00","updatedAt":"2026-09-30T01:17:52.588835+00:00","scopeVersion":"participant-v2","tags":["criminal","adult","murder","chatgpt","openai","method-provision","south-korea","kr"]}]}