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

T-Mobile US

T-Mobile deploys AI through its IntentCX customer experience platform (built with OpenAI) and AI-driven network automation, with SEC filings explicitly stating reliance on third-party ML algorithms and LLMs from Microsoft and OpenAI. It conducts AI-RAN R&D but has not clearly confirmed proprietary model training.

We reviewed 3 public documents from T-Mobile US and found it acknowledges 2 of 24 AI risks: discrimination and weapons & cyberattacks.

Sector: Information

Roles: AI deployer

AI risks T-Mobile US acknowledges

  • Discrimination: “AI may have unintended consequences, including inaccurate or biased responses.” (T-Mobile Use Systems with Care)
  • Weapons & cyberattacks: “We also expect that threat actors will continue to gain sophistication including in the use of tools and techniques (such as AI) that are specifically designed to circumvent security controls, evade detection, and obfuscate forensic evidence, making it more challenging for us to identify, investigate and recover from future cyberattacks in a timely and effective manner.” (T-Mobile Form 20-F 2024 Annual Report)

Documents we reviewed