Oct 2026IndiaUnidentified Google AI tool (reported)
In October 2026 a ticket inspector on the Somnath/Veraval-Jabalpur Express, after the train left Wankaner in Gujarat, found that two passengers were carrying fake tickets on their mobile phones; they were handed to the Railway Protection Force and railway police in Rajkot registered a case and detained them. According to Gujarat Samachar, the two were factory workers, one of them a minor, who wanted to go home and asked a man working at their factory for tickets; he made the tickets with the help of AI and Photoshop and charged Rs 2,000. Gujarat Samachar English reports that the railway police investigation traced the forged tickets to a Google AI application and WhatsApp, and that the man who made them was also arrested. The reports differ on the workers' role: Bombay Samachar says they were cheated and at first suspected nothing, while Gujarat Samachar English says all three accused, including the two passengers, were remanded to judicial custody. Gujarat Samachar English dates the check 15 October, and the reports name no specific AI product.
Core concern Medium reported severity Criminal Charges
AI involvement reported · Causal attribution supported · 3 sources, 2 underlying accounts · Added 20/10/2026
May 2026ChinaUnidentified video tool
The Beijing News reported on 16 October 2026, in an investigation of 'Xiaohai' accounts on Chinese short-video platforms, that the accounts show an AI-generated digital teenager who calls older women viewers 'aunties and mothers', tells stories of hardship and asks them to buy goods through sales links; its reporter generated such a video by following a tutorial, in a little over ten minutes. The paper describes a 79-year-old woman, given a pseudonym, who lived alone and talked most with the 'Xiaohai' on her phone. Around May 2026, according to the paper, a 'Xiaohai' video invited viewers to Yuncheng in Shanxi to see apricot blossoms; she secretly packed, bought a train ticket and set off with no clear route. On the train, railway police noticed her, told her that 'Xiaohai' was not a real person, and contacted her children, who bought her return ticket and brought her home. At first she refused to believe it. The paper also found that most 'Xiaohai' videos now carry a declaration that the content is AI-generated. How the paper learned of her journey is not stated. China National Radio (China Media Group) reported the same journey on 19 October 2026 with recorded exchanges between the woman and a train police officer: in May 2026 Urumqi railway police found a 79-year-old who cannot read travelling alone, able to say only that she was going to Yuncheng in Shanxi to see a child who called her 'auntie' every day on her phone; the officer told her the person in the live room was fake, and she got off and went home on a return ticket her family bought. The station's reporter found that the persona she trusted was one of the batch-produced 'digital human Xiaohai' accounts and that many carry an 'AI-generated' watermark in a corner of the video.
Core concern Low reported severity Media Coverage
AI involvement supported · Causal attribution alleged · 3 sources, 2 underlying accounts · Added 18/10/2026
13 Jan 2026IndiaUnidentified image tool
Jhansi police arrested a 27-year-old woman in Prayagraj in September 2026 on charges of editing photos with AI, blackmail and extortion, after the wife of a senior railway officer living in Jhansi filed an FIR on 2 August 2026. According to the complaint as relayed by Aaj Tak, UP Tak, Dainik Bhaskar and Amar Ujala, the woman threatened to circulate objectionable pictures of women in the family, demanded ₹15 lakh and threatened to kill the family, and out of fear the family paid her ₹40,000 in total on different dates between January and June 2026. On 31 July she sent an objectionable image of the officer to his wife's phone, an image police say she made with AI. Aaj Tak places the ₹15 lakh demand after that image; Dainik Bhaskar reports the complaint as dating the demand and a death threat to the woman's visit to the family's government house on 2 June. Police recovered two phones and a laptop, and Amar Ujala reports that police will have the images examined forensically. On 1 October 2026 an Additional Sessions Judge in Jhansi rejected the woman's bail plea. In police custody after her arrest she said the FIR against her was fake. The images were not inspected.
Core concern Medium reported severity Criminal Charges
AI involvement reported · Causal attribution alleged · 6 sources, 2 underlying accounts · Added 03/10/2026
24 Apr 2026Event location unknownCursor coding agent (reported)
On Friday 24 April 2026 a Cursor coding agent, running Anthropic's Claude Opus 4.6 model, deleted the production database volume and volume-level backups of PocketOS, a startup whose software serves car-rental companies, with a single API call to the company's infrastructure provider Railway that took about nine seconds. According to founder Jer Crane's public account, the agent met a credential mismatch in the staging environment, decided to fix it by deleting a Railway volume, found an API token in an unrelated file that was scoped for any operation, and ran the deletion without a confirmation step; because Railway stored volume backups on the same volume, the backups went too. Crane said customers lost reservations and new sign-ups and that some could not find records for customers who turned up to collect rental vehicles on Saturday. Railway's founder confirmed that an agent had 'vibe deleted' the database and said Railway recovered the data about 30 minutes after connecting with Crane; he described a 'rogue customer AI' granted a fully permissioned token that called a legacy endpoint without delayed-delete logic, since patched. Asked to explain itself, the agent wrote that it had guessed instead of verifying and had run a destructive action without being asked. Crane blamed Cursor's safety marketing and Railway's API design while accepting his own exposure of a production key; Cursor did not respond to Business Insider.
Core concern Low reported severity Internal Action
AI involvement supported · Causal attribution supported · 2 sources · Added 22/09/2026