Artificial Intelligence Policy Tracker

AI Incident Database

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Every incident record (metadata only) from the weekly snapshot of 2026-09-07. Filter, then export the selection with its licence attached; each row links to the full record and its reports.

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80 incidents · page 4 of 4

  1. #318 · 2 reports

    Facebook Recommended Military Gear Ads Despite Pause on Weapons Accessories Ads AIID ↗

    Facebook’s algorithmic recommendations reportedly continued showing advertisements for gun accessories and military gear, despite Facebook’s halt on weapons accessories ads following the US Capitol attack.

    Deployer: Facebook · Developer: Facebook · Harmed: Facebook Users

  2. #137 · 1 report

    Israeli Tax Authority Reportedly Used an Opaque Automated System to Issue a Fine, Declining to Explain or Disclose the Underlying Calculation AIID ↗

    An Israeli farmer, Moshe Har Shemesh, reportedly received a fine generated by a Tax Authority software system whose calculation officials were allegedly unable to explain. When the farmer reportedly sought access to the program or its source code to understand the basis for the amount, the authority allegedly refused, citing security concerns and the difficulty of extracting the embedded guidelines. The dispute reportedly later moved into legal proceedings focused on whether code and automated d

    Deployer: Israeli Tax Authority · Developer: Israeli Tax Authority · Harmed: Moshe Har Shemesh, Israeli People Having Tax Fines

  3. #207 · 4 reports

    Hawaii Police Deployed Robot Dog to Patrol a Homeless Encampment AIID ↗

    Honolulu Police Department spent federal pandemic relief funds on a robot dog to take body temperatures and patrol a homeless quarantine encampment which local civil rights advocates criticized as dehumanizing.

    Deployer: Honolulu Police Department · Developer: Boston Dynamics · Harmed: Honolulu Homeless People

  4. #1118 · 41 reports

    Ongoing Purported AI-Assisted Identity Fraud Enables Unauthorized Access to Western Companies by North Korean IT Workers AIID ↗

    North Korean operatives have reportedly used AI-generated identities to secure remote jobs or impersonate employers in order to infiltrate companies. These tactics allegedly support sanctions evasion through wage theft, credential exfiltration, and malware deployment. Workers reportedly use fake resumes, VPNs, and face-altering tools; some deploy malware like OtterCookie after embedding, while others lure targets via spoofed job interviews. AI systems are reportedly used to generate fake resumes

    Deployer: Yang Di, Waterplum, Wagemole, Void Dokkaebi, Unc5267, Son Un Chol, Sok Kwang Hyok, Sim Hyon Sop, Rim Un Chol, Ri Kyong Sik, Reconnaissance General Bureau, Purplebravo, North Korean Threat Actors, Minh Phuong Ngoc Vong, Matthew Isaac Knoot, Lazarus Group, Ko Chung Sok, Kim Ye Won, Kim Sang Man, Kim Ryu Song, Kim Mu Rim, Jong Song Hwa, Jong Kyong Chol, Jang Chol Myong, Hyon Chol Song, Gwisin Gang, Government Of North Korea, Famous Chollima, Department 53, Contagious Interview, Christina Chapman, Choe Jong Yong, Cho Chung Pom · Developer: Openai, Large Language Model Developers, Deepfake Technology Developers · Harmed: Western Companies, Web3, Ssa, Social Security Administration, Recruitment Teams, Oleksandr Didenko, National Security And Intelligence Stakeholders, Macos Users, Jiho Han, Irs, Interviewees, Internal Revenue Service, Human Resources Staff, Hiring Managers, Haoran Xu, Epistemic Integrity, Employers, Developers, Cryptocurrency Platforms, Companies In The United States, Chunji Jin, Blockchain Projects, Andrew M., Targets Of Fraudulent Professional Opportunities

  5. #212 · 4 reports

    XPeng Motors Fined For Illegal Collection of Consumers’ Faces Using Facial Recognition Cameras AIID ↗

    The Chinese electric vehicle (EV) firm XPeng Motors was fined by local market regulators for illegally collecting in-store customers’ facial images without their consent for six months.

    Deployer: XPeng Motors · Developer: Unknown · Harmed: XPeng Motors customers, Privacy, Biometric data subjects

Disclaimer: informational only, not legal advice. Verify every claim against the linked official sources and consult a qualified lawyer before acting.

Frequently asked questions

What is recorded in each incident?

What happened, when, who was involved as developer or deployer, who was harmed, the sectors and countries affected, and the domain and subdomain the harm falls under. Incidents are mirrored from the AI Incident Database and each links back to its source record.

Does an incident mean wrongdoing was proven?

No. These are reported incidents, not findings of liability. Entities named in a report are named as reported, allegations are marked as alleged, and nothing here is a legal determination.

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It syncs directly from the AI Incident Database several times a day, so a new incident usually appears within hours. Each record carries the date it was last synced, and the snapshot date is shown on the page.

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No. The report texts are outside the licence this data is shared under, so only the metadata and the classifications appear here. Every row links to the original incident record, which carries the reports themselves.