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

American Express

American Express deploys AI and GenAI across customer-facing experiences (LLM-based features in the Amex app) and enterprise workflows, with numerous GenAI initiatives across the organisation. It also develops specialised deep-learning fraud detection models (LSTM/GBM) deployed at scale in its payments business.

We reviewed 2 public documents from American Express and found it acknowledges 7 of 24 AI risks, including discrimination and disinformation & influence.

Sector: Finance and Insurance

Roles: AI deployer; Specialized AI developer

AI risks American Express acknowledges

  • Discrimination: “flaws in models or datasets that may result in biased ... results” (American Express 2024 Annual Report)
  • Disinformation & influence: “These risks to our brand and reputation... are heightened by the increasing sophistication and availability of artificial intelligence technology, including by assisting with the creation of deepfakes and increasing the velocity of distribution of disinformation.” (American Express 2024 Annual Report)
  • Weapons & cyberattacks: “increasingly utilize advanced capabilities, including the integration of advanced forms of artificial intelligence ... which can increase the efficacy, severity, frequency and ease of execution of cyberattacks” (American Express 2024 Annual Report)
  • Fraud & scams: “the possibility of... malicious social engineering... fraudulent or other malicious activities... cannot be eliminated entirely and will evolve as new and emerging technology is deployed by threat actors, including the use of artificial intelligence” (American Express 2024 Annual Report)
  • Capability & robustness: “we increasingly use models that leverage artificial intelligence, which are subject to additional risks such as... inaccurate results” (American Express 2024 Annual Report)
  • Transparency & interpretability: “can make it difficult to assess proper operation, reduce error, or understand and explain their outputs” (American Express 2024 Annual Report)
  • Devaluation of human creativity: “subject to various risks including ... infringement of intellectual property rights” (American Express 2024 Annual Report)

Documents we reviewed