Scale & Govern · EY
EY reviewed a biopharma's AI projects against its responsible AI framework and found governance gaps.
The biopharma had no AI governance framework as regulations like the EU AI Act emerged. EY applied its Responsible AI framework to forecasting, adverse event tracking and disease detection projects. The page states the review led to minimum requirements for AI teams, better third-party risk assessment and a central AI inventory.
EY is a professional services firm that advises pharma companies on AI governance, risk and transformation
This sits in the Scale & Govern stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to monitor, govern and keep validating an AI system once it is already live in production.
Source
Published by EY on its own site — read the original case study on ey.com ↗
More like this
Related use cases
- 01How (And Why) AdeptID Achieved EU AI Act Compliance for Talent Matching
- 02Establishing Lifecycle AI Risk Management for Defense Operations
- 03Unifying AI Governance Across Global Operations at Scale
- 04Embedding & Automating AI Governance in Enterprise Workflows
- 05Operationalizing Responsible AI Governance for Global Business Units
- 06Mastercard and Credo AI: Scaling Generative AI Governance in the Financial Sector to Build Customer Trust