AI hallucinations in drug discovery aren’t just an AI problem — they’re a data problem.
👉 52% of life science professionals say poor data quality is the #1 barrier to AI implementation
👉 27% of organisations can’t even trace the evidence chain powering their AI systems.
In this new white-paper authored by Digital Science’s Mark Hahnel we see the practical playbook: FAIR data principles, knowledge graphs, and neuro-symbolic AI for building a foundation pharma can actually trust.
If you’re navigating AI in R&D and wondering why it isn’t delivering, this is for you! 👇
The foundation for trustworthy AI: The FAIR data playbook for pharma
🔗 https://www.digital-science.com/trustworthy-ai-fair-data-for-pharma/?utm_source=linkedin&utm_medium=social&utm_term=digital+science&utm_campaign=c8105c9d-dc6a-41a8-9c95-88a59f921223