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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DiDi

DiDi develops specialised AI for mobility, including dispatch and repositioning optimisation systems, DNN-based autonomous driving stacks, and DiMA, an LLM-powered ride-hailing assistant deployed in the DiDi app. Its AI activity centres on domain-specific model development and deployment for transportation.

We reviewed 1 public document from DiDi and found it acknowledges none of the 24 AI risks we looked for.

Sector: Trade, Transportation, and Utilities

Roles: Specialized AI developer; AI deployer

Documents we reviewed