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

Intel

Intel provides AI compute infrastructure through its Gaudi accelerators, developer tooling (OpenVINO, AI toolkits), and cloud-accessible AI compute (Intel Tiber Developer Cloud). It influences AI performance standards through board membership and co-chair leadership in MLCommons/MLPerf.

We reviewed 10 public documents from Intel and found it acknowledges 7 of 24 AI risks, including discrimination and false information.

Sector: Agriculture, Mining, Construction and Manufacturing; Computer & electronics manufacturing

Roles: AI infrastructure provider; AI deployer

AI risks Intel acknowledges

  • Discrimination: “these models learn from vast amounts of data available on the internet, which can contain biases present in society and may inadvertently perpetuate and amplify these biases” (Intel Responsible AI - E Book - Rev 2.6)
  • False information: “To ensure that their responses are grounded in authoritative sources.” (Intel Labs Mitigates Bias in AI Models)
  • Environmental harm: “We have to consider the threat that increased demand for AI compute will have on the simultaneous increase in energy requirements.” (Intel Responsible AI - E Book - Rev 2.6)
  • Disinformation & influence: “Such models can be used to create convincing deepfake video and audio content. For example, an AI-generated hoax of an explosion at the Pentagon went viral.” (Intel Responsible AI - E Book - Rev 2.6)
  • Weapons & cyberattacks: “threat actors are leveraging emerging AI technologies to develop new hacking tools and attack vectors, exploit vulnerabilities, obscure their activities and increase the difficulty of threat attribution.” (Intel Annual Report 2024 - 10K)
  • Fraud & scams: “The proliferation of generative AI increases the risk of these technologies being used by threat actors to impersonate authorized individuals, which may make attacks even more difficult to detect and prevent.” (Intel Annual Report 2024 - 10K)
  • Inequality & unemployment: “Initiated and helped lead a pilot to address the exploitation of vulnerable AI data enrichment workers.” (Intel 2024-25 Corporate Responsibility Report)

Documents we reviewed