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

Abbott Laboratories

Abbott Laboratories deploys AI in patient-facing products (Libre Assist generative AI for glucose management) and clinician workflows. It also develops specialised ML diagnostic algorithms internally, including an AI-based algorithm for determining heart attack risk using troponin levels.

We reviewed 4 public documents from Abbott Laboratories and found it acknowledges 2 of 24 AI risks: discrimination and governance failure.

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

Roles: AI deployer; Specialized AI developer

AI risks Abbott Laboratories acknowledges

  • Discrimination: “technologies that inadvertently perpetuate biases in the data used to train them, leading to disparities in health outcomes” (Abbott 2024 Global Sustainability Report June 2025)
  • Governance failure: “we recognize the potential ethical exposures that could arise... where a regulatory framework does not yet exist. The lack of appropriate regulation could lead to technologies that inadvertently perpetuate biases...” (Abbott 2024 Global Sustainability Report June 2025)

Documents we reviewed