Artificial Intelligence Standards Committee

Learn more about the Artificial Intelligence Standards Committee, it's mission, chair, and more.
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Officers and Program Manager


  • Chair: Richard Tong
  • Vice-chair: Jeanine A. DeFalco, PhD
  • Secretary: Randy Soper
  • Program Manager: Christy Bahn

 
STANDARDS COMMITTEE WEBSITE

 

Top Active Standards and Current Projects


  • P2863 – Recommended Practice for Organizational Governance of Artificial Intelligence (Policy)
  • P3142 – Recommended Practice on Distributed Training and Inference for Large-scale Deep Learning Models (Architecture)
  • P3193 – Recommended Practice on Large-scale Pre-trained Deep Learning Model Application Framework (Architecture)
  • P3419 – Standard for Large Language Model Evaluation (Evaluation)
  • P3396 – Recommended Practice for Defining and Evaluating Artificial Intelligence (AI) Risk, Safety, Trustworthiness, and Responsibility (Policy)
  • P3123 – Standard for Artificial Intelligence and Machine Learning (AI/ML) Terminology and Data Formats (Semantics)
  • P3394 – Standard for Large Language Model Agent Interface (Architecture)

 

Current Standards Needs


  • Establish common ground and best practices for AI governance across jurisdictions
  • Enable interoperability and communication for innovative and dynamic AI technologies both in general AI areas and also for vertical industries
  • Provide frameworks and guidelines for key areas, such as foundational models, GenAI, language models, AI agents, edge AI, explainable AI, federated learning, model evaluation, AI risk and trustworthiness, etc.
  • Standardize terminology, data formats, and interfaces to facilitate the integration of AI systems

 

Standards Stakeholders


  • AI technology providers and developers
  • Organizations deploying AI systems across various domains and vertical industries such as automobile, education, power generation, healthcare, financial services, etc.
  • Government agencies and policymakers
  • International Organizations, other standard development organizations, public interest groups, and advocacy organizations
  • Academia and research institutions working on advancing AI

 

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