This recommended practice describes the methodology and application of ‘compliance by design’ in the area of human-robot interaction (HRI) with…
IEEE The Institute of Electrical and Electronics Engineers
This standard establishes a comprehensive framework for mitigating security risks, privacy leaking in the development, deployment, and use of generative…
The recommended practice outlines a process model that leverages artificial intelligence imaging and data processing technologies for improved emissions information…
“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…
P3462
Recommended Practice for Using Safety by Design in Generative Models to Prioritize Child Safety
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 addresses the evaluation of safety, explainability, and stability of algorithms implementing autonomous driving levels, as defined by SAE…
