Operating AI Tools in Life Sciences

A practical guide to governing the data you share with AI tools and to approving, controlling and documenting third party AI, drawn from our experience with pharmaceutical, biotech and healthtech companies.

What you will find inside

• Why AI is a data governance question as well as a compliance question, and our dual approach: AI Governance to protect your data, AI Compliance for high risk systems
• What already applies to deployers: the AI Act after the Digital Omnibus, GDPR, US recording and biometric law, and your contracts
• Four situations from our experience: an assistant blocked by contracts, an AI meeting companion pilot, a roll out date without a process and an AI assistant reviewing clinical trial data
• The iliomad operating model: roles, triage, a four dimension assessment, a decision register and a permitted use matrix that tells every user what data may go into which tool
• Practical sheets: six questions for the vendor, eight usage rules, a uniform consent standard and eight conditions before trial data goes into an AI assistant
• A 90 day plan, the indicators to track and five decisions for your executive team

For CEOs, General Counsel, DPOs and Quality, IT Security and Clinical Operations leaders.