This recommended practice provides a framework for vulnerability tests for machine learning models in the computer vision domain. The document…
United States
This recommended practice describes ethical considerations and recommended best practices in the design of artificial intelligence as used by adaptive…
This recommended practice specifies governance criteria such as safety, transparency, accountability, responsibility and minimizing bias, and process steps for effective…
In collaboration with the private and public sectors, NIST has developed a framework to better manage risks to individuals, organizations,…
Expert systems are a wave of the information processing future. As time goes on they will become more and more…
This standard defines interactions and exchanges among the components of adaptive instructional systems (AISs). This standard defines the data and…
A set of processes by which organizations can include consideration of ethical values throughout the stages of concept exploration and…
IEEE 7001-2021
IEEE Standard for Transparency of Autonomous Systems
New IEEE Standard – Active. Measurable, testable levels of transparency, so that autonomous systems can be objectively assessed, and levels…
ANSI/RIA R 15.08-1
Industrial Mobile Robots – Safety Requirements – Part 1: Requirements for the Industrial Mobile Robot
Specifies safety requirements for industrial mobile robots (IMRs). It describes basic hazards associated with IMRs in an industrial environment (See…
IEEE 7005-2021
IEEE Standard for Transparent Employer Data Governance
Specific methodologies to help employers in accessing, collecting, storing, utilizing, sharing, and destroying employee data are described in this standard.…
IEEE 3333.1.3-2022
IEEE Standard for the Deep Learning-Based Assessment of Visual Experience Based on Human Factors
New IEEE Standard – Active. Measuring quality of experience (QoE) aims to explore the factors that contribute to a user’s…
IEEE 2830-2021
IEEE Standard for Technical Framework and Requirements of Trusted Execution Environment based Shared Machine Learning
The framework and architecture for machine learning in which a model is trained using encrypted data that has been aggregated…
