Company AI Risk Explorer
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Welcome to the Company AI Risk Explorer

This tool maps what large global companies say in public about AI risk. We reviewed public documents from roughly 200 of the world's largest companies. We coded every risk they acknowledge against the AI Risk Repository taxonomy.

Filter by company, sector, AI role, or risk. Compare what companies acknowledge against expert ratings of severity, sector vulnerability, and role responsibility.

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Companies × risks

False or misleading information

AI systems that inadvertently generate or spread incorrect or deceptive information, which can lead to inaccurate beliefs in users and undermine their autonomy. Humans that make decisions based on false beliefs can experience physical, emotional or material harms

25 of the world's largest companies we reviewed acknowledge the AI risk "False information", including IBM, Microsoft and Alphabet (Google).

Which companies acknowledge this risk?

  • IBM: “Hallucinations are the generation of factually inaccurate or ungrounded content with respect to the model's training data or input.” (Foundation models: Opportunities, risks and mitigations)
  • Microsoft: “identify several key risks, including the possibility of generating impressions that don't align with findings included in the report-also known as ungrounded content.” (Responsible AI Transparency Report | Microsoft)
  • Alphabet (Google): “reminding people that the AI-generated outputs may contain inaccuracies and that they should take steps to verify information generated by the tool.” (Google - OECD HAIP Report)
  • Salesforce: “AI technologies, including generative AI, may create content that appears correct but is factually inaccurate or flawed...” (2025 Annual Report)
  • Meta: “subject us to risks related to... accuracy, misinformation and deepfakes” (Meta - Form 10-K 2025 Annual Report)
  • SAP: “Generative AI creates believable images and videos of events that never occurred. This has the potential to create misinformation” (SAP's Response to the Safe and Responsible AI Discussion Paper ...)
  • Nomura Research Institute: “Hallucinations: AI-generated outputs that present false information as factual.” (NRI - ESG Databook 2025)
  • Intel: “To ensure that their responses are grounded in authoritative sources.” (Intel Labs Mitigates Bias in AI Models)
  • Baidu: “address ethical issues such as ... misinformation” (Baidu 2025 Environmental, Social and Governance Report)
  • Novartis: “AI systems are susceptible to producing false or "hallucinatory" inferences or outputs” (Novartis Annual Report 2025 - Form 20-F)
  • ABB: “Due to its stochastic nature, Generative AI may "hallucinate" - namely, generate wholly or partially inaccurate information without indicating it is doing so.” (Generative AI: Buzzword demystifier | ABB)
  • Citigroup: “they can sometimes produce text that is inaccurate or illogical, a phenomenon called hallucinations... These vary from minor inconsistencies to total fabrications.” (Delivering Improved Experience Through Generative AI)
  • Commonwealth Bank of Australia: “LLMs do not always guarantee accurate or factually correct answers... which means they can potentially generate inaccurate statements... may potentially be inaccurate or contains hallucinated information.” (Our Approach to Adopting AI)
  • Fortinet: “content that appears correct but is factually inaccurate (hallucinations) or flawed, ... and if our customers or others use this flawed content to their detriment” (Fortinet 2024 Annual Report)
  • L'Oreal: “the increase in the risk of false or incorrect information about the Group, its brands and its products being posted on social media, with this risk heightened by the growing use of artificial intelligence” (L'Oreal 2024 Universal Registration Document)
  • Mastercard: “Those risks include... "hallucinations" - the repetition of falsehoods by AI.” (Mastercard - Responsible AI: Shaping artificial intelligence governance)
  • ServiceNow: “RAG-specific tests for hallucinations” (How We Protect High-Risk AI Systems | ServiceNow)
  • Amazon: “AWS also applies AR to GenAI itself in order to help manage the problem of hallucinations.” (Amazon's Frontier Model Safety Framework)
  • Hilton Worldwide: “The use of artificial intelligence can lead to unintended consequences, including generating content that appears correct but is factually inaccurate, misleading or otherwise flawed” (Hilton 2024 10-K Annual Report)
  • JPMorgan Chase: “incorrect, biased or misleading results or content generated by artificial intelligence, leading to harmful outcomes” (JPMorganChase 2024 10-K Annual report)
  • Kenvue: “ensure that automated decision-making does not... create health misinformation” (Kenvue 2024 Healthy Lives Mission Report)
  • Mitsubishi UFJ Financial: “we recognize the risks associated with the inappropriate use of AI, such as... the spread of misinformation, and causing misunderstanding” (Announcement of the MUFG AI Policy)
  • National Bank of Canada: “The growing use of AI in the Bank's operational processes exposes it to new risks, particularly ... misinformation” (National Bank of Canada Annual Report 2025)
  • Palantir: “Third-party AI capabilities that can be integrated with our platforms could also produce false or "hallucinatory" inferences” (2024 10-K Palantir)
  • Wolters Kluwer: “The key to reaping the benefits of AI while avoiding its pitfalls (from hallucinations to security concerns)” (Wolters Kluwer eBook: How to make AI responsible, reliable, and secure)