The foundation for trustworthy AI: The FAIR data playbook for pharma

How to build an audit-ready AI foundation for more reliable drug discovery

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Is your AI built on a foundation of trust?

Join Mark Hahnel, VP of Open Research at Digital Science, for an insightful webinar on navigating the path to audit-ready, grounded AI in drug discovery. 

Discover practical strategies to transition from AI aspirations to scalable, real-world implementation.

Learn how to:

  • Transition from opaque copyright policies to a traceable, audit-ready data foundation using FAIR metadata
  • Transform fragmented information into connected, usable knowledge
  • Anchor AI outputs in structured, verifiable evidence

Gain the essential insights to ensure your AI systems are reliable, traceable, and compliant. Register now!

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Mark Hahnel

Mark Hahnel

VP of Open Research | Digital Science

More about Mark

Mark Hahnel is the VP Open Research at Digital Science. He is the founder of Figshare, which he created while completing his PhD in stem cell biology at Imperial College London. Figshare currently provides research data infrastructure for institutions, publishers and funders globally. He is passionate about open science and the potential it has to revolutionize the research community. Mark sits on the board of DataCite and the advisory board for Directory of Open Access Journals (DOAJ). He was on the judging panel for the National Institutes of Health (NIH), Wellcome Trust Open Science prize and acted as an advisor for the Springer Nature master classes.

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