The volume of scientific content driving life sciences R&D is growing exponentially, along with the challenge of using that content effectively. On a recent episode of the Xtalks Life Science Podcast, host Dr. Corey Stanton spoke with Neal Dunkinson, Senior Director of Solution Sales at CCC, about why copyright and licensing have become foundational to research productivity, scientific integrity, and responsible AI.
Dunkinson, who joined CCC in January 2025 after two decades in life sciences informatics, argues that licensing is far more than a legal formality. It supports the innovators producing high-quality research, protects the integrity of the research underpinning billion-dollar decisions, and gives researchers the confidence to share content without second-guessing every article. Without clear licensing frameworks, organizations can face duplicate purchases, information silos, shadow workflows, and risk-averse teams that leave valuable content unused.
On AI, Dunkinson cautions that emerging systems consume and store data in ways traditional licensing models were never designed to address. His framework for responsible AI is straightforward: keep humans accountable, prioritize evidence over statistical echoes, and ensure provenance for every input.