This standard addresses the evaluation of safety, explainability, and stability of algorithms implementing autonomous driving levels, as defined by SAE…
AI-specific
This standard defines a comprehensive framework for federated machine learning of semantic information agents. It targets two primary layers: •…
This recommended practice provides a data processing framework for training large language models, refining the relevant terms and definitions. The…
IEEE P3419
Standard for Large Language Model Evaluation
This standard establishes a comprehensive set of criteria for the evaluation of Large Language Models (LLMs) and extends to multimodal…
This standard addresses Artificial Intelligence (AI) risks such as malicious use, AI race, organizational risks, and rogue AI’s. The standard…
This recommended practice provides a comprehensive framework for understanding, defining, and evaluating AI risks, AI safety, AI trustworthiness, and AI…
For the software engineering life cycle empowered by Generative Pre-trained Transformer (GPT) this recommended practice specifies: • a description and…
This recommended practice specifies framework and evaluation methods of audio-driven portraits based on artificial intelligence. In this recommended practice, the…
This standard applies to the design, development, application, and evaluation of large-scale deep learning models for artificial intelligence. The standard…
This recommended practice specifies tools and indexes for evaluating content generated by artificial intelligence technology. © Copyright 2024 IEEE –…
This standard defines a framework including requirements and evaluation methods for a two-dimensional (2D) real-person digital clothes model generation system…
This standard outlines the toolchain for deploying artificial intelligence (AI) models on edge devices and specifies the functional requirements for…
