TRACE Project Launches to Advance AI interoperability
The community comes together to launch TRACE, a project to improve generative AI systems’ interoperability, verifiability and usage tracking.
The community comes together to launch TRACE, a project to improve generative AI systems’ interoperability, verifiability and usage tracking.
Today’s guest post proposes a method for identifying, measuring, and managing robotic usage of scholarly content.
Today’s guest bloggers spotlight a gap in traditional usage reporting, third-party AI usage, and recommend steps needed to recover missing usage data.