Artificial intelligence is rapidly becoming part of regulated scientific workflows. The question facing our industry is no longer if AI will influence how science is conducted, but how it can be implemented in a manner that preserves scientific integrity, regulatory confidence, and public trust.
Rather than focusing on organizational implementation strategies,
this presentation examines the foundational principles that may be necessary to support responsible AI adoption across the life sciences industry.
