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

Merck

Merck deploys AI by integrating LLM and ML capabilities into clinical documentation, medical writing, and manufacturing quality systems, including an internal generative AI platform that accelerates clinical study report drafting. It also builds specialised ML models for manufacturing inspection and scientific software.

We reviewed 3 public documents from Merck and found it acknowledges 2 of 24 AI risks: discrimination and transparency & interpretability.

Sector: Agriculture, Mining, Construction and Manufacturing; Chemicals & pharmaceutical manufacturing

Roles: AI deployer; Specialized AI developer

AI risks Merck acknowledges

  • Discrimination: “Ethical and legal challenges may arise, including biases or discrimination in AI outcomes” (Merck - 2025 Annual Report)
  • Transparency & interpretability: “the inner workings of AI can be difficult to understand” (Merck's commitment to developing and using artificial intelligence ...)

Documents we reviewed