A Guide to Responsible AI in Life Sciences
Achieve a life sciences trifecta: building on cloud compliance for responsible AI, gathering high-quality data that addresses patient needs, and maintaining continuous compliance amid evolving regulations.
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What You'll Learn
- How lessons learned in cloud compliance inform a responsible approach to AI in life sciences.
- How to develop a responsible AI model for proper AI use across GxP environments.
- How to find the right AI solution for your life sciences organization.
- What it takes to build, validate, and maintain a compliant AI solution as industry regulations evolve.
Webinar Discussion
AI and generative AI are helping life sciences organizations sift through vast pools of data to find high-quality insights. Hear how Google, Sorcero, and USDM developed a purpose-built AI solution that helps life sciences organizations adopt AI and mitigate risk successfully.
In this on-demand webinar, the presenters connect cloud compliance and responsible AI and explain how AI algorithms and models perform well and remain compliant in the face of evolving industry regulations. They also discuss best practices for developing a responsible AI model and explore compliance considerations when building, validating, and maintaining systems.
What This Session Covers
- Building on lessons learned in cloud compliance to inform responsible AI
- Developing a responsible AI model for proper AI use in life sciences
- Finding the right AI solution for life sciences organizations
- Delivering a compliant solution for AI in life sciences
- Live Q&A
The USDM point of view: Adopting AI in regulated life sciences isn't a separate discipline from compliance — it's an extension of it. The same rigor that proved cloud platforms safe for GxP use applies to AI: define intended use, validate the system, and keep it compliant as it changes. By pairing AI governance and compliance with proven validation practices, organizations can unlock the value of AI without compromising patient safety, data integrity, or regulatory standing.
Presenters
- Andrea McGonigle, Director, Global Healthcare & Life Sciences ISV Strategy & Ecosystem, Google
- Richard Graves, Co-founder & CCO, Sorcero
- John Petrakis, Chief AI Officer, USDM Life Sciences
Don't miss the opportunity to learn about this offering built with Sorcero's AI Platform on Google Cloud using USDM AI Assurance for implementation and ongoing system validation. It all comes together in an innovative and compliant solution for AI in life sciences. A compliant AI program rests on the same foundations as the rest of your regulated estate — data integrity and continuous compliance as your systems and regulations evolve.
Frequently Asked Questions
What does "responsible AI" mean in a life sciences context?
Responsible AI means deploying AI algorithms and models in ways that perform well and remain compliant as industry regulations evolve. As this session explains, it involves developing a defined AI model for proper use, then applying compliance considerations when building, validating, and maintaining the system — the same discipline used to govern other regulated technologies, supported by AI governance and compliance practices.
How do cloud compliance lessons apply to AI?
The webinar connects cloud compliance and responsible AI, drawing on lessons learned validating cloud platforms for GxP use. The principle is the same: establish intended use, validate the system, and keep it compliant through change. Approaches such as USDM Cloud Assurance extend that continuous-compliance model to AI-enabled systems.
What goes into delivering a compliant AI solution?
Delivering a compliant solution covers building, validating, and maintaining the system so it continues to meet regulatory expectations over time. The solution featured in this session was built with Sorcero's AI Platform on Google Cloud, using USDM AI Assurance for implementation and ongoing system validation. Sound data integrity practices underpin the high-quality data these AI models rely on.
Who should watch this webinar?
Life sciences leaders responsible for adopting AI, generative AI, and GxP technologies — including quality, IT, regulatory, and AI strategy roles — will benefit from the discussion on adopting AI while mitigating risk. To talk through your organization's situation, contact USDM.
Watch the On-Demand Webinar
Fill out the form to watch this on-demand session and learn how to adopt AI responsibly across your GxP technologies. To discuss how a compliant AI solution could work in your environment, contact USDM Life Sciences.