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

Citigroup

Citigroup deploys generative AI at enterprise scale, with global colleague access to three GenAI tools (Citi Stylus, Stylus Workspaces, and Citi Assist) for document intelligence and knowledge management. It also develops specialised ML systems for payments anomaly detection and contributes to AI governance through FINOS open controls and governance frameworks.

We reviewed 2 public documents from Citigroup and found it acknowledges 6 of 24 AI risks, including discrimination and loss of privacy.

Sector: Finance and Insurance

Roles: AI deployer

AI risks Citigroup acknowledges

  • Discrimination: “if training data contains bias, the model will learn and reproduce that bias... This bias can lead to content being created that reinforces cultural, racist or gender-based stereotypes... its outputs could discriminate against certain groups” (Delivering Improved Experience Through Generative AI)
  • Loss of privacy: “Handling of personally identifiable data by the LLM requires strong safeguards to prevent leakage, and ensure privacy and security.” (Delivering Improved Experience Through Generative AI)
  • Capability & robustness: “ineffective, inadequate or faulty Generative AI development or deployment practices... could result in unintended consequences, such as AI algorithms that produce inaccurate or incomplete output” (Citigroup 2024 Annual report)
  • False information: “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)
  • Fraud & scams: “the use of increasingly sophisticated AI technologies by malicious actors and others has increased the risk of fraud, including identity theft and bypassing of verification controls” (Citigroup 2024 Annual report)
  • Transparency & interpretability: “most of the companies that develop the models do not disclose which data was used to train models, making it impossible for users to verify the training data... this lack of transparency forces users of generative AI to blindly trust their claims.” (Delivering Improved Experience Through Generative AI)

Documents we reviewed