Standard

The goal is to have a technical survey for mitigating against threats introduced by adopting AI into systems. The technical survey shed light on available methods of securing AI-based systems by mitigating against known or potential security threats. It also addresses security capabilities, challenges, and limitations when adopting mitigation for AI-based systems in certain potential use cases

Data is a critical component in the development of AI systems. This includes raw data as well as information and feedback from other systems and humans in the loop, all of which can be used to change the function of the system by training and retraining the AI.
However, access to suitable data is often limited causing a need to resort to less suitable sources of data. Compromising the integrity of training data has been demonstrated to be a viable attack vector against an AI system. This means that securing the supply chain of the data is an important step in securing the AI.
This report will summarise the methods currently used to source data for training AI along with the regulations, standards and protocols that can control the handling and sharing of that data. It will then provide gap analysis on this information to scope possible requirements for standards for ensuring traceability and integrity in the data, associated attributes, information and feedback, as well as the confidentiality of these. 

Software quality: Quality assessment for AI-based systems (see also 4.1.1 and 4.3.1.4)

Assessment of AI systems: Metrics for the performance capability of AI

Electric vehicles conductive power supply system - Part 3-7: Particular requirements for EV supply equipment where protection relies on double or reinforced insulation – Battery system communication.

Secondary cells and batteries containing alkaline and other non-acid electrolyte - Secondary Lithium ion , Nickel Cadmium , and Nickel Metal Hydride cells and batteries for portable applications - Guidance on environmental aspects.

IEC 63115-1:2020 specifies the marking, designation, tests and requirements for sealed nickel­metal hydride cells and batteries used in industrial applications, including stationary applications.

When an IEC International Standard specifying test conditions and requirements for cells used in special applications is in conflict with this document, the former takes precedence (e.g. IEC 62675).

IEC 60086-6:2020 applies to all chemistries of portable primary cells and batteries standardized in the 60086 series.

The purpose of this document is to provide guidance on the proper scientific protocols for testing the environmental performance of batteries; the symbols used to convey messages for collection, recycling, or other ideas; and the aspects and functional unit(s) to be included in assessing the environmental impact of batteries with modern life-cycle analysis techniques.

Defining the schema and taxonomy for collaborative automated course of action operations (CACAO) security playbooks and how these playbooks can be created, documented, and shared in a structured and standardized way across organizational boundaries and technological solutions.

A language for expressing cyber threat and observable information. This document defines concepts that apply across all of STIX and defines the overall structure of the STIX language.

Recommendation ITU-T L.1031 describes a three-step approach to address the e-waste reduction target of the Connect 2020 Agenda. These steps consist of guidance on developing an e-waste inventory, approaches to design e-waste prevention and reduction programs, and the supportive measures required for successfully implementing the Connect 2020 e-waste target.

This Recommendation is intended to be utilized by relevant stakeholders to take their first step in addressing Target 3.2 of the Connect 2020 Agenda that is to reduce waste by 50% by 2020.

Recommendation ITU-T L.1031 describes a three-step approach to address the e-waste reduction target of the Connect 2020 Agenda. These steps consist of guidance on developing an e-waste inventory, approaches to design e-waste prevention and reduction programs, and the supportive measures required for successfully implementing the Connect 2020 e-waste target.

This Recommendation is intended to be utilized by relevant stakeholders to take their first step in addressing Target 3.2 of the Connect 2020 Agenda that is to reduce waste by 50% by 2020.