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

Alibaba

Alibaba develops general-purpose foundation models (Qwen/Tongyi Qianwen, with models exceeding 1 trillion parameters) and provides AI infrastructure through Alibaba Cloud's PAI platform, AI computing services, and Model Studio. It also develops specialised domain models for healthcare, legal, and finance applications.

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

Sector: Trade, Transportation, and Utilities

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

AI risks Alibaba acknowledges

  • AI security vulnerabilities: “blue teaming... incorporates diverse perspectives to reveal potential or unknown risks... red team members... are encouraged to discover vulnerabilities... prompts for basic risks and attacks... emerging safety threats” (Alibaba Group 2025 ESG report)
  • Discrimination: “it will favor top sellers while creating an unfair market for smaller merchants.” (Alibaba's CTO On Everything You Wanted To Know About AI Ethics (But Were Too Afraid To Ask))
  • Fraud & scams: “However, it can also be used to create videos and images depicting things that have never happened. Such fake videos with inappropriate comments could erode the reputation of individuals, especially where public figures are involved.” (Alibaba's CTO On Everything You Wanted To Know About AI Ethics (But Were Too Afraid To Ask))
  • Transparency & interpretability: “The black box of deep learning also creates challenges for system optimization and human intervention.” (Alibaba's CTO On Everything You Wanted To Know About AI Ethics (But Were Too Afraid To Ask))

Documents we reviewed