National foreword

This Published Document is the UK implementation of ISO/IEC TR 27563:2023.

The UK participation in its preparation was entrusted to Technical Committee IST/33/5, Identity Management and Privacy Technologies.

A list of organizations represented on this committee can be obtained on request to its committee manager.

Contractual and legal considerations

This publication has been prepared in good faith, however no representation, warranty, assurance or undertaking (express or implied) is or will be made, and no responsibility or liability is or will be accepted by BSI in relation to the adequacy, accuracy, completeness or reasonableness of this publication. All and any such responsibility and liability is expressly disclaimed to the full extent permitted by the law.

This publication is provided as is, and is to be used at the recipient’s own risk.

The recipient is advised to consider seeking professional guidance with respect to its use of this publication.

This publication is not intended to constitute a contract. Users are responsible for its correct application.

This publication is not to be regarded as a British Standard.

Compliance with a Published Document cannot confer immunity from legal obligations.

This Published Document was published under the authority of the Standards Policy and Strategy Committee on 30 June 2023.

Foreword

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This document was prepared by Joint Technical Committee ISO/IEC JTC 1, Information technology, Subcommittee SC 27, Information technology, cyber security and privacy protection.

Any feedback or questions on this document should be directed to the user’s national standards body. A complete listing of these bodies can be found at www.iso.org/members.html and www.iec.ch/national-committees.

Introduction

Artificial intelligence (AI) and machine learning (ML) are increasingly being adopted by the digital industry, using algorithms to make decisions that have the potential to negatively impact the privacy of individuals and in some cases can even cause harm to some of them, unless adequate safeguards are deployed. Such safeguards to protect privacy often depend on a variety of factors including the specific type of process, sensitivity of data used, and potential harm likely to be caused.

This concern has been expressed by:

Practitioners, who identified 23 principles for AI at the 2017 Asilomar conference^[¹^] covering research, ethics and values, as well as longer term issues.
Standard developers, as evidenced by the report on ethically aligned design published by the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems^[²^].
Policy makers, as exemplified by the appointment by the European Commission of a high-level expert group on artificial intelligence and the subsequent publication of an assessment list^[³^].

This document provides an analysis of security and privacy of use cases provided in ISO/IEC TR 24030, which should be used in parallel. A number of additional use cases are provided in Annex A.

This document also uses concepts from ISO/IEC TR 24028, which addresses trustworthiness in AI systems, including approaches to establish trust (e.g. transparency, explainability, controllability), and to achieve trustworthiness properties (e.g. resiliency, reliability, accuracy, safety, security, or privacy).

1 Scope

This document outlines best practices on assessing security and privacy in artificial intelligence use cases, covering in particular those published in ISO/IEC TR 24030.

The following aspects are addressed:

an overall assessment of security and privacy on the AI system of interest;
security and privacy concerns;
security and privacy risks;
security and privacy controls;
security and privacy assurance; and
security and privacy plans.

Security and privacy are treated separately as the analysis of security and the analysis of privacy can differ.

2 Normative references

3 Terms and definitions

4 Abbreviated terms

5 Analysis of security and privacy

5.1 General

5.2 Application domains in ISO/IEC TR 24030:2021 use cases

5.3 Security in ISO/IEC TR 24030:2021 use cases

5.4 Privacy in ISO/IEC TR 24030:2021 use cases

6 Templates for analysis

7 Supporting information

7.1 Describe ecosystem

7.2 Provide assessment of systems of interest

7.3 Identify security and privacy concerns

7.4 Identify security and privacy risks

7.5 Identify security and privacy controls

7.6 Identify security and privacy assurance concerns

7.7 Identify security and privacy plan requirements

Bibliography

PD ISO/IEC TR 27563:2023

Security and privacy in artificial intelligence use cases. Best practices

Current

Published:

30 Jun 2023