Why It Matters
Properly sustaining and integrating scientific collections with AI is vital for driving future research, enabling new discoveries, and ensuring the foundational data for AI applications in science remains robust and accessible. Neglecting these collections could impede scientific progress and limit the potential of AI in research.
Key Intelligence
- ■Scientific collections, from physical specimens to vast datasets, remain foundational for global research and discovery.
- ■The rapid advancement of Artificial Intelligence (AI) introduces both new opportunities and significant challenges for the stewardship and utilization of these collections.
- ■There is a pressing need to digitize, curate, and make scientific collections interoperable to fully leverage AI's analytical capabilities.
- ■Ensuring the long-term viability of these resources requires sustained funding, specialized infrastructure, and skilled personnel to integrate AI technologies effectively.
- ■Adapting collection management strategies to the AI era is crucial for accelerating scientific understanding and addressing complex global challenges.