{"meta":{"exportedAt":"2026-09-30T04:43:25.110Z","formatVersion":2,"selection":{"q":"supreme-court","system":"","harm":"","context":"","country":"","role":"","relation":"","evidence":"","year":"","response":"","severity":"","verification":"","view":"incidents","sort":"added"},"totalIncidents":2,"coverage":{"cases":2,"countries":1,"languages":2,"unknownLocation":0,"locationPending":0,"unknownLanguage":0,"unknownDate":0,"lawsuits":0,"regulatory":1,"minors":0,"coreRelations":0,"contextualRelations":1,"mixedRelations":0,"unknownRelations":1,"relationPending":0,"relationUnknown":1},"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-surat-customs-penalty-ai-hallucinated-citations-supreme-court","caseFacts":{"claims":[{"id":"c1","status":"reported","evidence":[{"locator":"'The present appeal arose out of an Order-in-Original dated 8 October 2025 passed by the Additional Commissioner of Customs, Surat, imposing a penalty of ₹425,27,99,100 on the appellant under Section 114, Customs Act, 1962, for misdeclaring a consignment of natural diamonds as lab-grown diamonds to pay a lower tariff. The challenge to the said penalty before the Gujarat High Court failed, as the appeal was dismissed vide order dated 20 January 2026.'","relation":"supports","source_id":"s2"},{"locator":"'The penalty was imposed for allegedly misdeclaring a consignment of natural diamonds as lab-grown diamonds to attract a lower tariff.'; 'the High Court dismissed his challenge on January 20, 2026, prompting him to approach the Supreme Court.'","relation":"supports","source_id":"s1"}],"assertion":"On 8 October 2025 the Additional Commissioner of Customs, Surat, imposed a penalty of ₹425,27,99,100 on a diamond trader under Section 114 of the Customs Act, 1962, for allegedly misdeclaring natural diamonds as lab-grown diamonds, and the Gujarat High Court dismissed his challenge on 20 January 2026.","causal_attribution":"Facts of the proceedings as recited in the Supreme Court judgment, reported by legal outlets; the judgment itself was not read."},{"id":"c2","status":"reported","evidence":[{"locator":"'Upon verifying such judgments and articles, it does appear that the second respondent has relied upon case laws that are either non-existent or have fake citations. A further investigation has also revealed that some of the case laws relied upon by the second respondent, which do exist, do not lay down the ratio deduced therefrom and it appears to be a hallucination of AI,' the Court observed.","relation":"supports","source_id":"s1"},{"locator":"'Upon verification, the court found that the second respondent had \"relied upon case laws that are either non-existent or have fake citations.\" It further found that some case laws which did exist did not lay down the legal propositions attributed to them, and that this \"appears to be a hallucination of AI\".'","relation":"supports","source_id":"s3"}],"assertion":"The Supreme Court found that the penalty order relied on case law that was non-existent or carried fake citations, and on existing cases that did not lay down the ratio attributed to them, which it said appears to be a hallucination of AI.","causal_attribution":"Finding of the Supreme Court after its own verification of the cited material, as quoted by the reports. The court attributes the defects to AI in qualified terms ('appears to be'); the tool is not named."},{"id":"c3","status":"reported","evidence":[{"locator":"'The use of AI in this case, resulting in reliance placed by the second respondent on material which is dubious, proves fatal to the sustainability of the order imposing penalty on the appellant. Such circumstances compel us to interfere and remand the case,' the Court said.","relation":"supports","source_id":"s1"},{"locator":"'The proceedings were revived for fresh adjudication by an officer of the same rank other than the officer who had passed the original order.'; 'The Court left it to the wisdom of the appointing authority to initiate such action against the author of the Order-in-Original dated 8 October 2025 as may be warranted in the circumstances, in accordance with law.'","relation":"supports","source_id":"s2"},{"locator":"'The Supreme Court on Wednesday, September 2, 2026, set aside a customs penalty of over ₹425 crore'; 'A bench of Justice Dipankar Dutta and Justice Sheel Nagu did not examine the merits of the customs case at all.'","relation":"supports","source_id":"s3"},{"locator":"'Верховний суд Індії 2 вересня 2026 року розглянув справу щодо використання штучного інтелекту працівником митниці, який послався на неіснуючі судові справи та фальшиві цитати, накладаючи штраф у розмірі близько $45 млн' (the Supreme Court of India on 2 September 2026 considered a case of a customs officer's use of AI, who cited non-existent cases and fake quotations while imposing a fine of about $45 million)","relation":"context","source_id":"s4"}],"assertion":"On 2 September 2026 the Supreme Court held that the use of AI and the resulting reliance on dubious material was fatal to the penalty order, set aside the order and the High Court's order without deciding the merits, revived the proceedings for fresh adjudication by a different officer of the same rank, and left action against the order's author to the appointing authority.","causal_attribution":"Holding of the Supreme Court as reported."}],"effects":[{"label":"a ₹425 crore customs penalty order resting on non-existent and misattributed case law that the Supreme Court found appeared to be AI hallucination stood against the trader for about eleven months and was upheld by the Gujarat High Court","claim_id":"c1","direction":"negative"},{"label":"the trader had to take the case to the Supreme Court, which voided the order but revived the proceedings for fresh adjudication","claim_id":"c3","direction":"negative"}],"sources":[{"id":"s1","url":"https://www.barandbench.com/news/litigation/supreme-court-scraps-425-crore-penalty-over-fake-citations-ai-hallucinations-in-customs-order","kind":"news_report","access":"read","language":"en","translation_note":"Full body (including JSON-LD article body) read by curl on 2026-09-29. Reports and quotes the Supreme Court judgment of 2 September 2026.","independence_group":"sc-judgment-gadiya"},{"id":"s2","url":"https://www.scconline.com/blog/post/2026/09/03/supreme-court-sets-aside-%E2%82%B9425-crore-customs-penalty-over-ai-generated-fake-citations/","kind":"news_report","access":"read","language":"en","translation_note":"SCC Times case note, read by curl on 2026-09-29; summarises the same judgment (2026 SCC OnLine SC 1741).","independence_group":"sc-judgment-gadiya"},{"id":"s3","url":"https://upstox.com/news/personal-finance/tax/how-a-diamond-trader-got-relief-from-a-425-crore-penalty-after-customs-used-ai-generated-citations/article-199828/","kind":"news_report","access":"read","language":"en","translation_note":"Upstox (4 September 2026), read by curl on 2026-09-29; based on the same judgment.","independence_group":"sc-judgment-gadiya"},{"id":"s4","url":"https://sud.ua/uk/news/abroad/371427-mytnyk-poviryv-shi-i-vypysav-shtraf-na-45-mln-verkhovnyi-sud-use-skasuvav","kind":"news_report","access":"read","language":"uk","translation_note":"Ukrainian-language report (6 September 2026) read through the r.jina.ai relay on 2026-09-29 (direct fetch 403); translated by the reviewer. Cited only for context; it converts the penalty to about US$45 million.","independence_group":"sc-judgment-gadiya"}],"version":1,"ai_roles":["institutional_use"],"contexts":["justice","public_services","finance"],"unknowns":["Which AI tool the customs officer used and how it was used in drafting the order.","Whether the trader paid any part of the penalty or incurred other financial consequences while the order stood, and the trader's litigation costs.","The outcome of the revived adjudication and whether any action was taken against the officer.","The trader's country and place of residence."],"geography":{"basis":"The order was passed by the Additional Commissioner of Customs, Surat, challenged in the Gujarat High Court and decided by the Supreme Court of India. The trader's country of residence is not stated in the read reports, so affected_person_countries is left empty.","court_countries":["IN"],"event_countries":["IN"],"affected_person_countries":[]},"publication":{"basis":"Published as a concrete case of institutional AI use in an adverse administrative decision about a person: a penalty order that India's Supreme Court voided after finding apparently AI-hallucinated authorities in it. The account rests on legal reporting of the judgment; the judgment text was not read. The underlying misdeclaration allegation was not decided and the proceedings were revived. The trader is not named.","reviewed_on":"2026-09-29"},"ai_involvement":{"basis":"The Supreme Court, after individually verifying the cited material, found non-existent cases, fake citations and misattributed ratios in the penalty order and said this 'appears to be a hallucination of AI'; it held that 'the use of AI in this case' was fatal to the order. The tool, and how the officer used it, are not stated in the read reports. The penalty decision was the officer's; whether the AI drafted or merely supplied authorities is unknown, so the AI-to-person relation is recorded as unknown.","status":"supported"},"person_relations":["unknown"]},"name":"Surat, India: a customs officer's ₹425 crore penalty order against a diamond trader relied on non-existent and misattributed case law that India's Supreme Court found 'appears to be a hallucination of AI'; the court set the order aside after the trader had lost in the Gujarat High Court","summary":"On 8 October 2025 the Additional Commissioner of Customs in Surat imposed a penalty of ₹425,27,99,100 (about ₹425 crore) on a diamond trader under Section 114 of the Customs Act, 1962, for allegedly misdeclaring a consignment of natural diamonds as lab-grown diamonds to pay a lower tariff. The trader's challenge was dismissed by the Gujarat High Court on 20 January 2026. Before the Supreme Court the trader argued that judgments and articles cited in the penalty order had been generated using artificial intelligence. On 2 September 2026 a bench of Justices Dipankar Datta and Sheel Nagu, after checking the material, found that the order relied on case law that was non-existent or carried fake citations, and on real cases that did not lay down the propositions attributed to them, which the court said 'appears to be a hallucination of AI'. Holding that the use of AI and reliance on this dubious material was fatal to the order, the court set aside both the penalty order and the High Court's order without deciding the merits, sent the matter for fresh adjudication by a different officer of the same rank, and left any action against the order's author to the appointing authority. The AI tool used is not named in the read reports.","incidentDate":"2025-10-08","incidentEndDate":"2026-09-02","incidentKind":"bounded_series","incidentDatePrecision":"range","exposurePattern":"unknown","reportedDate":"2026-09-02","aiSystem":"Unnamed generative AI tool whose output the Supreme Court of India found in a customs penalty order (non-existent and misattributed case law); the tool is not identified in the read reports","aiProduct":"Unidentified AI tool","aiCompany":"Unknown","severity":"medium","verificationStatus":"credible","harmCategories":[],"harmOutcomes":["legal_harm"],"harmOutcomeSummary":"A diamond trader was subjected for about eleven months to a ₹425 crore customs penalty order, and lost a High Court challenge to it, before India's Supreme Court voided the order because it relied on non-existent and misattributed case law that the court found appeared to be AI hallucination (Supreme Court judgment as reported by Bar & Bench, SCC Online and Upstox). The underlying proceedings were revived.","frameworkFacets":[],"causationStatus":"supported","participantUsersAffectedMin":0,"otherPeopleHarmedMin":1,"affectedCountStatus":"exact","affectedCountEvidence":"One trader, the appellant, on whom the penalty was imposed. The trader did not use the AI; the customs officer did. No other person is reported harmed.","victimAgeRange":"adult","jurisdiction":"IN","platformType":"other","outcomeType":"internal_action","outcomeStatus":"ongoing","primarySourceUrl":"https://www.barandbench.com/news/litigation/supreme-court-scraps-425-crore-penalty-over-fake-citations-ai-hallucinations-in-customs-order","primarySourceLabel":"Bar & Bench, 2 September 2026: Supreme Court scraps ₹425 crore penalty over fake citations, AI hallucinations in customs order","firstPublishedAt":"2026-09-29T09:08:50.773251+00:00","updatedAt":"2026-09-30T01:17:55.666396+00:00","scopeVersion":"facts-v3","tags":["india","surat","customs","supreme-court","hallucinated-citations","institutional-use","administrative-decision","penalty"]},{"id":"2026-delhi-police-facial-recognition-jantar-mantar-list-25-in-jail","caseFacts":{"claims":[{"id":"c1","status":"reported","evidence":[{"locator":"'According to the police affidavit submitted on August 17, its FRS identified individuals with criminal records at the protest site'; 'It said that 2,402 people were identified by the Delhi Police'; 'and 471 through criminal records.'; 'No actions are taken solely based upon the result of the facial recognition system which is only the first step to identify a person in the crowd who has a criminal record.'","relation":"supports","source_id":"s1"},{"locator":"'According to the Delhi Police affidavit, 2,402 people were identified through its biometric database, Crime Kundli, while another 471 were identified through criminal records.'","relation":"supports","source_id":"s2"},{"locator":"'The Delhi Police's affidavit of August 17, 2026 told the Supreme Court that 2,873 persons with criminal records had been spotted by the FRS at the protest site.'","relation":"supports","source_id":"s3"}],"assertion":"In an affidavit of 17 August 2026 before the Supreme Court, Delhi Police said its Facial Recognition System had identified 2,873 people with criminal antecedents at the Jantar Mantar protest site between 20 and 26 July 2026, 2,402 through its 'Crime Kundli' biometric database and 471 through criminal records, and that no action is taken solely on an FRS result before field verification.","causal_attribution":"The affidavit as quoted by The Indian Express and relayed by Outlook and IFF; not inspected directly."},{"id":"c2","status":"reported","evidence":[{"locator":"'An investigation of those with serious charges, murder, attempted murder and rape, and child abuse, shows that at least 25 people on the list, identified by the Facial Recognition System (FRS) at Jantar Mantar, were in jail as per police, jail and court records.'; 'In this group, 17 faced charges of murder; four of rape, including two in POCSO cases; and four more of attempt to murder were lodged in Delhi'; 'Court and jail records for all 25 show custody dates precede the protest'","relation":"supports","source_id":"s1"},{"locator":"'At least 25 of the 2,873 people identified by Delhi Police'; 'were already in jail when they were flagged, an investigation of police, prison and court records by The Indian Express has found.'","relation":"supports","source_id":"s2"},{"locator":"'Three were \"identified\" on July 24, twenty-one on July 25 and one on July 26, each with a timestamp.'","relation":"supports","source_id":"s3"}],"assertion":"At least 25 of the 205 listed people facing murder, rape, POCSO or attempted-murder charges were in Tihar, Mandoli or Rohini jails when the FRS logged them at Jantar Mantar (17 murder, four rape of which the Express's narrative counts two and its itemised list three as POCSO cases, four attempted murder), with timestamps on 24, 25 and 26 July 2026 and custody dates that in some cases precede the protest by years.","causal_attribution":"The Indian Express's own check of police, prison and court records (one chain, relayed by Outlook and IFF); the Delhi Police response did not address the 25 cases."},{"id":"c3","status":"reported","evidence":[{"locator":"'On Tuesday, when the Supreme Court quashed all FIRs related to the exam leak protests by students, it let the government proceed against the 2,873 people who the Delhi Police claimed had criminal records'","relation":"supports","source_id":"s1"},{"locator":"'Delhi Police was given permission to register one fresh FIR concerning 2,873 people alleged to have serious criminal antecedents and initially reported to have been present at Jantar Mantar.'; 'The Court did not find that the 2,873 were present, had qualifying criminal records or committed violence.'; 'the order prescribed no method or express requirement that checks precede arrest or other action'","relation":"supports","source_id":"s4"},{"locator":"'On September 1, 2026, a Bench headed by the Chief Justice of India, invoking Article 142, quashed all FIRs registered against students who participated in the July protests'; 'while directing that this should not prejudice their rights and that they must be given every opportunity to defend themselves'","relation":"supports","source_id":"s3"}],"assertion":"On 1 September 2026 the Supreme Court quashed the FIRs against the student protesters but permitted Delhi Police to register a fresh FIR concerning the 2,873 persons with alleged serious antecedents, directing that this should not prejudice their rights, and without a finding that they were present; the undertaking that action would follow field verification is the police's own, and The Federal notes the order prescribed no such requirement.","causal_attribution":"The order as described by the three outlets; not inspected directly."},{"id":"c4","status":"reported","evidence":[{"locator":"'Responding on Monday to a questionnaire from the Express, the Delhi Police said:'; 'During the protests, 2873 individuals identified as prima facie having criminal antecedents were spotted. However, further verification in this regard is pending.'","relation":"supports","source_id":"s1"},{"locator":"'In its response to the Express, the Delhi Police did not address the 25 cases'","relation":"supports","source_id":"s3"}],"assertion":"Responding to The Indian Express, Delhi Police said the 2,873 individuals had been spotted as prima facie having criminal antecedents and that further verification was pending; the response did not address the 25 cases.","causal_attribution":"Police statement as quoted by the Express."},{"id":"c5","status":"reported","evidence":[{"locator":"'In response to a Right to Information (RTI) request in 2022, the police had revealed that it considered a match to be'; 'if its system showed an accuracy rate of 80 per cent.'","relation":"supports","source_id":"s1"},{"locator":"'the Delhi Police disclosed that it treats any match with a similarity score above 80% as \"positive\"'; 'extracted in 2022 only after a Second Appeal before the Central Information Commission'","relation":"supports","source_id":"s3"}],"assertion":"Delhi Police disclosed in 2022, in reply to Right to Information requests, that it treats a facial-recognition match with an 80 per cent similarity or accuracy score as positive.","causal_attribution":"Delhi Police's 2022 RTI replies as described by IFF, which obtained them, and by The Indian Express, which IFF says relies on the same disclosures; one chain. The reply itself was not inspected. IE describes the threshold as an accuracy rate of 80 per cent and IFF as a similarity score above 80 per cent."}],"effects":[{"label":"at least 25 people in judicial custody were logged by the police facial-recognition system as present at a protest and listed in a sworn affidavit of persons with criminal antecedents against whom a fresh FIR and field verification were permitted","claim_id":"c2","direction":"negative"}],"sources":[{"id":"s1","url":"https://indianexpress.com/article/express-exclusive/delhi-police-facial-recognition-jantar-mantar-protest-accused-in-jail-10862099/","kind":"news_report","access":"read","language":"en","translation_note":"Read on 2026-09-24 from an Internet Archive capture of 15 September 2026 (web.archive.org/web/20260915075622id_/...); the live page returns 403 to this host. Express Investigation of 4 September 2026 with the list of the 25 and the police response.","independence_group":"indian-express-investigation"},{"id":"s2","url":"https://www.outlookindia.com/national/jantar-mantar-protest-25-people-flagged-by-facial-recognition-were-in-jail-records-show","kind":"news_report","access":"read","language":"en","translation_note":"Read live on 2026-09-24 (Outlook India, 4 September 2026): relays the Express findings and the affidavit figures; same chain.","independence_group":"indian-express-investigation"},{"id":"s3","url":"https://internetfreedom.in/delhi-polices-facial-recognition-flagged-25-jailed-people-at-jantar-mantar-this-dragnet-must-end/","kind":"other","access":"read","language":"en","translation_note":"Read live on 2026-09-24 (Internet Freedom Foundation, Apar Gupta, 4 September 2026): advocacy analysis that relays the Express findings (same chain for the 25) and adds IFF's own 2022 RTI replies on the 80 per cent threshold, its 24 July 2026 representation and RTI applications.","independence_group":"iff-own-rti"},{"id":"s4","url":"https://thefederal.com/the-federal-special/one-protest-two-probes-why-the-2873-person-fir-raises-questions-255688","kind":"news_report","access":"read","language":"en","translation_note":"Read live on 2026-09-24 (The Federal, 4 September 2026): analysis of the Supreme Court order and the affidavit relying on the Express report; same chain.","independence_group":"indian-express-investigation"}],"version":1,"ai_roles":["institutional_use"],"contexts":["justice","public_services","privacy"],"unknowns":["Whether any of the 25 has been named in the fresh FIR, visited for field verification or otherwise acted against.","Whether the 25 (or the other 2,848 listed people) have been told they are on the list.","How many of the remaining 2,668 entries would fail the same check; the Express examined only the 205 most serious.","The vendor, algorithm and threshold actually applied at Jantar Mantar in July 2026.","The full text of the 17 August affidavit and the 1 September order (described as quoted).","Whether two or three of the four rape accused are POCSO cases: The Indian Express's narrative says two, its itemised list says three.","The protest window: The Indian Express and Outlook give 20 to 26 July; The Federal gives 20 to 25 July."],"geography":{"basis":"The protests and the facial-recognition deployment were at Jantar Mantar, New Delhi; the 25 were in Delhi's Tihar, Mandoli and Rohini prisons; the affidavit and order are in the Supreme Court of India (The Indian Express, IFF, The Federal).","court_countries":["IN"],"event_countries":["IN"],"affected_person_countries":["IN"]},"publication":{"basis":"Published under the 2026-09-15 charter as a contextual case in which an AI system made a consequential claim about identifiable people: a police facial-recognition system placed at least 25 people who were in prison at a protest, on a sworn list that the Supreme Court permitted police to act on. The finding rests on The Indian Express's records investigation (one chain, relayed by Outlook, IFF and The Federal) with the affidavit and order described as quoted; the 80 per cent threshold rests on IFF's 2022 RTI replies, which IFF says the Express also relies on. The listed people are not named.","reviewed_on":"2026-09-24"},"ai_involvement":{"basis":"Delhi Police's own affidavit, as quoted by The Indian Express, attributes the 2,873 identifications to its Facial Recognition System matching faces against the 'Crime Kundli' biometric database and criminal records; the Express's records check shows the system logged at least 25 people who were in custody. The affidavit was not inspected directly.","status":"reported"},"person_relations":["made_claim_about"]},"name":"Delhi: the police facial-recognition system logged at least 25 people who were in Tihar, Mandoli or Rohini jails as present at the Jantar Mantar student protests (20 to 26 July 2026), with timestamps on 24 to 26 July, on a sworn list of 2,873 persons with 'criminal antecedents' that the Supreme Court allowed police to register a fresh FIR against (Indian Express investigation, 4 September 2026)","summary":"In an affidavit of 17 August 2026 before the Supreme Court of India, Delhi Police said its Facial Recognition System (FRS) had identified 2,873 people with criminal antecedents at the Jantar Mantar protests of 20 to 26 July 2026 (2,402 through its 'Crime Kundli' biometric database and 471 through other criminal records). On 1 September the Court quashed the FIRs against the student protesters but let the police proceed against the 2,873; the police say any action will follow field verification. The Indian Express checked the 205 listed people facing murder, attempted-murder, rape or child-sexual-offence charges against police, prison and court records and found that at least 25 of them (17 accused of murder, four of rape (two or three under POCSO; the Express's narrative and its list differ), four of attempted murder) were lodged in Delhi's Tihar, Mandoli or Rohini prisons when the system logged them at the protest site with timestamps on 24, 25 and 26 July; some had been in custody for years. Delhi Police told the newspaper that further verification of the 2,873 was pending and, in its affidavit, that no action is taken solely on a facial-recognition result and that field verification follows each match. The police disclosed in 2022, in reply to a Right to Information request, that it treats a match with an 80 per cent similarity score as positive. Whether any of the 25 has since been named in the fresh FIR or visited for verification is not reported.","incidentDate":"2026-07-24","incidentEndDate":"2026-07-26","incidentKind":"bounded_series","incidentDatePrecision":"range","exposurePattern":"unknown","reportedDate":"2026-09-04","aiSystem":"Delhi Police Facial Recognition System (FRS): face-matching software run on protest footage against the police 'Crime Kundli' biometric database and other criminal records; the vendor and algorithm are not identified in the inspected reporting","aiProduct":"Unidentified facial recognition system","severity":"medium","verificationStatus":"credible","harmCategories":[],"harmOutcomes":["legal_harm"],"harmOutcomeSummary":"At least 25 people in judicial custody were recorded by the police facial-recognition system as present at a protest they could not have attended and were placed, in a sworn affidavit before the Supreme Court, on a list of 2,873 persons with criminal antecedents against whom the Court permitted a fresh FIR and police field verification; The Indian Express reports the misidentifications and the Internet Freedom Foundation describes the exposure to verification visits and prosecution as the harm. No arrest, FIR entry or verification visit of any of the 25 is reported in the inspected sources.","frameworkFacets":[],"causationStatus":"supported","participantUsersAffectedMin":0,"otherPeopleHarmedMin":25,"affectedCountStatus":"documented_minimum","affectedCountEvidence":"The Indian Express states 'at least 25 people on the list' were in jail when logged, and lists them (17 murder, four rape, four attempted murder). The other 2,668 entries were not checked, so the count is a documented minimum of 25.","victimAgeRange":"adult","jurisdiction":"IN","platformType":"other","outcomeType":"investigation_opened","outcomeStatus":"ongoing","primarySourceUrl":"https://indianexpress.com/article/express-exclusive/delhi-police-facial-recognition-jantar-mantar-protest-accused-in-jail-10862099/","primarySourceLabel":"The Indian Express, 4 September 2026: Police say cameras 'caught' murder, rape accused at CJP protest - some were actually in jail (Express Investigation)","firstPublishedAt":"2026-09-24T03:46:45.247544+00:00","updatedAt":"2026-09-30T01:17:35.08761+00:00","scopeVersion":"facts-v3","tags":["facial-recognition","india","delhi","protest-surveillance","supreme-court","police","false-match","made-claim-about","jantar-mantar"]}]}