“Nudges” as exhibited by robotic, intelligent or autonomous systems are defined as overt or hidden suggestions or manipulations designed to…

To coordinate global data and AI literacy building efforts, this standard establishes an operational framework and associated capabilities for designing…

This recommended practice follows a safety by design approach by providing recommendations for developing, deploying, and maintaining generative artificial intelligence…

This standard provides definitions, terms, frameworks, and general requirements for systems that apply pre-trained large language models (LLM) in the…

This standard specifies a domain-specific architecture for Large Language Models (LLMs) Management Platforms that includes: functional, service, and deployment requirements.…

This recommended practice provides a holistic framework for AI foundation models. The framework allows sharing of the common computing resources,…

This standard provides: 1. Agent Components: The building blocks and architectural elements that constitute an educational Large Language Model (LLM)…

This recommended practice provides an overview of Artificial Intelligence Generated Content (AIGC) technologies, levels of those AICG technologies and defines…

This standard defines a comprehensive framework for federated machine learning of semantic information agents. It targets two primary layers: •…

This standard defines and provides criteria to measure the capabilities of foundation models. The standard focuses on measurable and objective…

This standard addresses the evaluation of safety, explainability, and stability of algorithms implementing autonomous driving levels, as defined by SAE…

This standard establishes a comprehensive set of criteria for the evaluation of Large Language Models (LLMs) and extends to multimodal…