The U.S. and European Union Trade and Technology Council have updated their repository of shared definitions of artificial intelligence terminology, as allied nations work to establish a shared understanding of how to securely leverage AI systems with a rights-centered approach.

After the sixth U.S.-EU TTC meeting held in Leuven, Belgium this past week, representatives from both governments found common ground on AI-related topics, announcing both an updated EU-U.S. Terminology and Taxonomy for Artificial Intelligence and continued AI-centric collaboration on Friday.

The updated taxonomy includes 13 new terms and updates 24 terms from the first iteration of the document. New terms include data augmentation, knowledge representation, prompt, training data, AI system, data leakage, and deep fakes, among others. These updates follow external expert commentary based on the first edition, collected between Oct. 27, 2023 and Nov. 24, 2023.

Amended terms include trustworthy AI, model, neural network, human values for AI, human-centric AI, AI accuracy, machine learning, data poisoning and synthetic data.

“By soliciting input from a broader network of experts, the document can better reflect diverse

perspectives and expertise contributing valuable insights to enhance the overall quality of the work undertaken by the experts of [working group 1],” the document reads.

The group also unveiled a new research alliance called AI for Public Good.

“Through this groundbreaking initiative, EU-U.S. scientific cooperation in AI is channelled to foster innovative research that can set the groundwork to advance societal well-being,” the announcement reads. The collaboration will focus on applying AI systems to areas like energy optimization, emergency response, urban reconstruction and extreme weather forecasting.