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

Baidu

Baidu develops general-purpose foundation models (the ERNIE family, up to 424 billion parameters), including the natively omni-modal ERNIE 5.0. It provides AI infrastructure through Baidu AI Cloud and the Qianfan platform for enterprise model building and serving, and develops specialised AI for autonomous driving (Apollo Go) and domain-specific applications.

We reviewed 4 public documents from Baidu and found it acknowledges 8 of 24 AI risks, including loss of privacy and discrimination.

Sector: Information

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

AI risks Baidu acknowledges

  • Loss of privacy: “Inappropriate or controversial data practices... including the inappropriate collection of data and potential data misuse” (Baidu 2025 Annual Report)
  • Discrimination: “governance models to address a range of ethics issues, including... bias, discrimination” (Baidu 2025 Environmental, Social and Governance Report)
  • Toxic content: “Increased risk of users' rights being compromised due to the dissemination of harmful content such as implicit bias, violence, terrorism, etc. ... We have developed targeted content governance measures to address harmful AI-generated content.” (Baidu 2025 Environmental, Social and Governance Report)
  • False information: “address ethical issues such as ... misinformation” (Baidu 2025 Environmental, Social and Governance Report)
  • Devaluation of human creativity: “AI-generated content could lead to copyright and other legal disputes for which legal liability may not be clearly prescribed by law.” (Baidu 2025 Annual Report)
  • Transparency & interpretability: “The Baidu Technology Ethics Committee aims to reduce the "black box" risks of AI algorithms and enable more anticipatory AI governance.” (Baidu 2025 Environmental, Social and Governance Report)
  • Inequality & unemployment: “we are also mindful of the potential risks of inequality and structural impacts” (Baidu 2025 Environmental, Social and Governance Report)
  • Environmental harm: “The rapid development of LLMs has significantly increased the demand for computing power, resulting in higher energy consumption. This presents a challenge to Baidu's efforts to develop low-carbon technologies for its data centers.” (Baidu 2025 Environmental, Social and Governance Report)

Documents we reviewed