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

JPMorgan Chase

JPMorgan Chase deploys third-party LLMs at scale (LLM Suite using external LLMs, launched with OpenAI; IndexGPT using GPT-4) and maintains substantial in-house ML teams. It publishes domain-specific model research and operates OmniAI, an internal platform supporting model training and deployment in financial workflows.

We reviewed 2 public documents from JPMorgan Chase and found it acknowledges 6 of 24 AI risks, including fraud & scams and discrimination.

Sector: Finance and Insurance

Roles: AI deployer; Specialized AI developer

AI risks JPMorgan Chase acknowledges

  • Fraud & scams: “The increasing sophistication of artificial intelligence technologies poses a greater risk of identity fraud, as malicious actors may exploit artificial intelligence to create convincing false identities or manipulate verification processes.” (JPMorganChase 2024 10-K Annual report)
  • Discrimination: “incorrect, biased or misleading results or content generated by artificial intelligence, leading to harmful outcomes, including discrimination in lending practices against vulnerable populations” (JPMorganChase 2024 10-K Annual report)
  • False information: “incorrect, biased or misleading results or content generated by artificial intelligence, leading to harmful outcomes” (JPMorganChase 2024 10-K Annual report)
  • Inequality & unemployment: “In addition, advances in technology, such as automation and artificial intelligence, may lead to workforce displacement.” (JPMorganChase 2024 10-K Annual report)
  • Environmental harm: “rising energy demand from data centers driven by artificial intelligence is expected to influence our ability to meet our Electric Power target in the future” (JP Morgan Chase 2024 ESG report)
  • Capability & robustness: “The models and estimations that JPMorganChase uses, including those that use machine learning or artificial intelligence, may not be effective in all cases to identify, observe and mitigate risk due to a variety of factors” (JPMorganChase 2024 10-K Annual report)

Documents we reviewed