Company AI Risk Explorer
Loading the data…
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.

← Back to the overview Company AI Risk Explorer

Companies × risks

Blackstone Group

Blackstone deploys third-party AI tools internally and across portfolio companies (including OpenAI GPT-4 and Microsoft 365 Copilot), and provides AI infrastructure through its data centre platforms (including QTS), positioning itself as the world's largest data centre provider serving hyperscalers running AI workloads.

We reviewed 1 public document from Blackstone Group and found it acknowledges 3 of 24 AI risks, including loss of privacy and AI security vulnerabilities.

Sector: Finance and Insurance

Roles: AI deployer; Specialized AI developer; AI infrastructure provider

AI risks Blackstone Group acknowledges

  • Loss of privacy: “For example, a user may input confidential information, including material non-public information or personal identifiable information, into AI Technology applications, resulting in such information becoming part of a dataset that is accessible by third-party AI Technology applications and users, including our competitors.” (2024 Blackstone 10-K filing)
  • AI security vulnerabilities: “The volume and reliance on data and algorithms also make AI Technologies, and in turn us and our portfolio companies and investments, more susceptible to cybersecurity threats, including the compromise of underlying models, training data, or other intellectual property.” (2024 Blackstone 10-K filing)
  • Fraud & scams: “These cybersecurity threats and compromises could occur as a result of threat actors impersonating Blackstone or its employees, including through the use of artificial intelligence technologies. Such technologies could make such impersonation more likely to occur or appear more credible. As a result, unauthorized individuals could gain, and in some past instances have gained, access to certain confidential data.” (2024 Blackstone 10-K filing)

Documents we reviewed