Companies × risks
Philip Morris International
Philip Morris International deploys AI at enterprise scale through Microsoft Copilot (with approximately 20,000 active users) and maintains a pipeline of internal GenAI use cases. It also develops domain-specific ML models internally for connected-device R&D and operational applications.
We reviewed 2 public documents from Philip Morris International and found it acknowledges 3 of 24 AI risks, including capability & robustness and discrimination.
Sector: Agriculture, Mining, Construction and Manufacturing; Other Agriculture, Mining, Construction and Manufacturing
Roles: AI deployer
AI risks Philip Morris International acknowledges
- Capability & robustness: “some information technology systems may be supported by artificial intelligence capabilities that may not function as intended” (Philip Morris International 2024 Annual Report)
- Discrimination: “This workstream will aim to mitigate, amongst others, risks such as: ... Amplification of bias” (The state of AI at PMI | PMI - Philip Morris International)
- Transparency & interpretability: “This workstream will aim to mitigate, amongst others, risks such as: ... Lack of transparency and explainability” (The state of AI at PMI | PMI - Philip Morris International)
Documents we reviewed
- The state of AI at PMI | PMI - Philip Morris International (AI overview & principles, 2025)
- Philip Morris International 2024 Annual Report (Annual report, 2025)