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AIAAIC's "News Trigger Taxonomy" describes the internal or external trigger, or set of triggers, that lead to increased external negative publicity and scrutiny (by the media, civil society organisations, policymakers, regulators, police, etc) in an AI or automated system and/or its governance.
It is primarily intended to help researchers, civil society organisations, journalists, students, users and others to identify and understand what prompts negative external scrutiny of these technologies and their governance in order to better understand the relevant transparency and accountability limitations.
Applied to entries to the AIAAIC Repository, the taxonomy employs a user/victim-centric approach to categorising and defining news triggers, and aims to present them in a clear and succinct manner that is understandable to the general public.
The News Trigger taxonomy is available to third-parties to download, comment upon, update, and re-use in line with AIAAIC's terms of use.
Artwork/prank. Creative work that draws attention to or ridicule an AI/automated system.
Commercial investigation. In-depth investigation of an AI/automated system by a third-party commercial entity or business supplier or partner.
Data breach/leak. An event in which confidential, sensitive, or protected information used by, or intended to be used by an AI/automated system is accessed, viewed, stolen, or disclosed without knowledge or authorisation.
FOI/public records request. A formal request for information held by public authorities about an AI/automated system and/or its governance.
Legal threat/action. A legal statement or warning, or formal legal proceedings concerning an AI/automated system by impacted users, civil society organisations, government, etc.
Legislative threat/action. A warning, investigation, enquiry or other legislative action regarding an AI/automated system by policymakers, parliamentarians, etc.
Media investigation/fact check. In-depth analysis of an AI/automated system by the mainstream media or fact check organisations.
NGO investigation/campaign. In-depth investigation of an AI/automated system by civil organisation(s), non-profit(s), etc.
Patent application/approval. Application or approval of a patent owned by the organisation or individual entity designing, developing or deploying an AI/automated system.
Police threat/action. A warning, investigation or other action regarding an AI/automated system by the police policymakers, parliamentarians, etc.
Product demonstration/release/launch. The external marketing communication of an AI/automated system-based product or service by its designer, developer or deployer.
Product recall. Voluntary or mandatory formal recall of an AI/automated system-based product/service.
Regulatory filing. Official document or report that an organisation or individual developing or deploying an AI/automated system is legally required to submit to a government agency or regulatory authority that reveals previously undisclosed damaging information.
Regulatory threat/action. Real or potential intervention by a government or regulatory authority that could impose new rules, restrictions, penalties, or enforcement measures on the organisation or individual responsible for an AI/automated system.
Research paper/report. Third-party academic, civil society or other research into an AI/automated system.
Third-party audit. A formal audit or assessment of an AI/automated system by an auditor, civil society organisation, or other expert entity.
User comments/complaints. Observations and complaints about an AI/automated system by users, the general public, victims, etc.
White-hat hack. The ethical use of hacking skills and techniques to test the security of an AI/automated system.
Whistleblower complaint. A formal report by an employee to an appropriate authority about wrongdoing involving an AI/automated system that affects the public interest.
Major changelog
Major changelog
December 5, 2025: Definitions added to all categories
Page updated
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