The U.S. and European Union Trade and Technology Council recently 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, 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.
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. The group also unveiled a new research alliance called AI for Public Good.
Continued dialogues between both jurisdictions will further implement the December 2022 Joint Roadmap on AI governance between the U.S. AI Safety Institute and the EU’s AI Office. The leadership from the U.S. AI Safety Institute — housed within the National Institutes of Standards and Technology — has launched a dialogue with the EU AI office on their approaches and mandates to deepen collaboration.
The latest agreement follows the EU’s proposal of a landmark AI Act —introduced in 2021 and passed by the EU Parliament in March of this year — which serves as the first comprehensive legal framework mandating how AI and machine learning systems can be deployed in society.
Click here to read the original article published by Nextgov/FCW.
Please give your feedback on this article or share a similar story for publishing by clicking here.
