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

Tencent

Tencent deploys AI across its billion-user product ecosystem (WeChat, gaming, advertising) and has integrated third-party models including DeepSeek. It developed the Hunyuan foundation model family and provides AI infrastructure through Tencent Cloud, while also releasing specialised 3D generation models (Hunyuan 3D, 3M+ community downloads).

We reviewed 3 public documents from Tencent and found it acknowledges 4 of 24 AI risks, including AI security vulnerabilities and loss of privacy.

Sector: Information

Roles: AI deployer; General-purpose AI developer; AI infrastructure provider; Specialized AI developer

AI risks Tencent acknowledges

  • AI security vulnerabilities: “prevent jailbreak attacks and injection attacks while ensuring the performance of large-scale models are all urgent problems to be solved” (Large Model Safety and Ethics Research Report 2024 (announcement))
  • Loss of privacy: “data security, privacy breaches ... are real challenges facing existing large-scale model applications” (Large Model Safety and Ethics Research Report 2024 (announcement))
  • Discrimination: “refine model performance to reduce biases” (Tencent environmental, social and governance report 2024)
  • Environmental harm: “The acceleration of AI applications in 2024 has imposed higher demands on the computational load and power density of data centres and led to increased energy consumption.” (Tencent environmental, social and governance report 2024)

Documents we reviewed