{"attribution":{"source":"MIT AI Risk Repository, Domain Taxonomy of AI Risks v1 (MIT AI Risk Initiative)","license":"CC BY 4.0","license_url":"https://creativecommons.org/licenses/by/4.0/","citation":"Slattery, P., Saeri, A. K., Grundy, E. A. C., Graham, J., Noetel, M., Uuk, R., Dao, J., Pour, S., Casper, S., & Thompson, N. (2025). The AI Risk Repository: A comprehensive meta-review, database, and taxonomy of risks from artificial intelligence. arXiv:2408.12622."},"exported_at":"2026-09-12"}
{"rows":[{"ev_id":"03.01.00","quick_ref":"Cunha2023","paper_title":"Navigating the Landscape of AI Ethics and Responsibility","level":"Risk Category","risk_category":"Broken systems","risk_subcategory":null,"description":"\"These are the most mentioned cases. They refer to situations where the algorithm or the training data lead to unreliable outputs. These systems frequently assign disproportionate weight to some variables, like race or gender, but there is no transparency to this effect, making them impossible to challenge. These situations are typically only identified when regulators or the press examine the systems under freedom of information acts. Nevertheless, the damage they cause to people’s lives can be dramatic, such as lost homes, divorces, prosecution, or incarceration. Besides the inherent technic","entity":"AI","intent":"Unintentional","timing":"Post-deployment","domain":1,"subdomain":"1.1"},{"ev_id":"03.02.00","quick_ref":"Cunha2023","paper_title":"Navigating the Landscape of AI Ethics and Responsibility","level":"Risk Category","risk_category":"Hallucinations","risk_subcategory":null,"description":"\"The inclusion of erroneous information in the outputs from AI systems is not new. Some have cautioned against the introduction of false structures in X-ray or MRI images, and others have warned about made-up academic references. However, as ChatGPT-type tools become available to the general population, the scale of the problem may increase dramatically. Furthermore, it is compounded by the fact that these conversational AIs present true and false information with the same apparent “confidence” instead of declining to answer when they cannot ensure correctness. With less knowledgeable people, ","entity":"AI","intent":"Unintentional","timing":"Post-deployment","domain":3,"subdomain":"3.1"},{"ev_id":"03.03.00","quick_ref":"Cunha2023","paper_title":"Navigating the Landscape of AI Ethics and Responsibility","level":"Risk Category","risk_category":"Intellectual property rights violations","risk_subcategory":null,"description":"\"This is an emerging category, with more cases prone to appear as the use of generative AI tools–such as Stable Diffusion, Midjourney, or ChatGPT–becomes more widespread. Some content creators are already suing for the appropriation of their work to train AI algorithms without a request for permission or compensation. Perhaps even more damaging cases will appear as developers increasingly ask chatbots or assistants like CoPilot for ready-to-use computer code. Even if these AI tools have learned only from open-source software (OSS) projects, which is not a given, there are still serious issues ","entity":"Other","intent":"Other","timing":"Other","domain":6,"subdomain":"6.3"},{"ev_id":"03.04.00","quick_ref":"Cunha2023","paper_title":"Navigating the Landscape of AI Ethics and Responsibility","level":"Risk Category","risk_category":"Privacy and regulation violations","risk_subcategory":null,"description":"\"Some of the broken systems discussed above are also very invasive of people’s privacy, controlling, for instance, the length of someone’s last romantic relationship [51]. More recently, ChatGPT was banned in Italy over privacy concerns and potential violation of the European Union’s (EU) General Data Protection Regulation (GDPR) [52]. The Italian data-protection authority said, “the app had experienced a data breach involving user conversations and payment information.” It also claimed that there was no legal basis to justify “the mass collection and storage of personal data for the purpose o","entity":"Human","intent":"Intentional","timing":"Post-deployment","domain":2,"subdomain":"2.1"},{"ev_id":"03.05.00","quick_ref":"Cunha2023","paper_title":"Navigating the Landscape of AI Ethics and Responsibility","level":"Risk Category","risk_category":"Enabling malicious actors and harmful actions","risk_subcategory":null,"description":"\"Some uses of AI have been deeply concerning, namely voice cloning [58] and the generation of deep fake videos [59]. For example, in March 2022, in the early days of the Russian invasion of Ukraine, hackers broadcast via the Ukrainian news website Ukraine 24 a deep fake video of President Volodymyr Zelensky capitulating and calling on his soldiers to lay down their weapons [60]. The necessary software to create these fakes is readily available on the Internet, and the hardware requirements are modest by today’s standards [61]. Other nefarious uses of AI include accelerating password cracking [","entity":"Other","intent":"Intentional","timing":"Post-deployment","domain":4,"subdomain":"4.0"},{"ev_id":"03.06.00","quick_ref":"Cunha2023","paper_title":"Navigating the Landscape of AI Ethics and Responsibility","level":"Risk Category","risk_category":"Environmental and socioeconomic harms","risk_subcategory":null,"description":"\"At a time of increasing climate urgency,\nenergy consumption and the carbon footprint of AI applications are also matters of ethics\nand responsibility [68]. As with other energy-intensive technologies like proof-of-work\nblockchain, the call is to research more environmentally sustainable algorithms to offset\nthe increasing use scale.\"","entity":"AI","intent":"Unintentional","timing":"Post-deployment","domain":6,"subdomain":"6.6"}]}