1.

Notifying Member: KENYA

If applicable, name of local government involved (Article 3.2 and 7.2):

2.

Agency responsible:

Kenya Bureau of Standards

Name and address (including telephone and fax numbers, email and website addresses, if available) of agency or authority designated to handle comments regarding the notification shall be indicated if different from above:

P.O. Box: 54974-00200,

Nairobi, Kenya

Telephone: + (254) 020 605490, 605506/6948258 Fax: + (254) 020 609660/609665 E-mail: info@kebs.org; Website: http://www.kebs.org

3.

Notified under Article 2.9.2 [X], 2.10.1 [ ], 5.6.2 [ ], 5.7.1 [ ], 3.2 [ ], 7.2 [ ], other:

4.

Products covered (HS or CCCN where applicable, otherwise national tariff heading. ICS numbers may be provided in addition, where applicable): Information technology (Vocabularies) (ICS code(s): 01.040.35); Information technology (IT) in general (ICS code(s): 35.020)

5.

Title, number of pages and language(s) of the notified document: DKS 3007:2024 Information technology — Artificial Intelligence — Code of Practice for AI Applications; (43 page(s), in English)

6.

Description of content: This document provides a set of recommendations intended to help the organization develop, provide, or use AI systems responsibly in pursuing its objectives and meet applicable requirements, obligations related to interested parties and expectations from them. It includes the following:

— approaches to establish trust in AI systems through transparency, explainability, controllability, etc.

— engineering pitfalls and typical associated threats and risks to AI systems, along with possible mitigation techniques and methods; and

— approaches to assess and achieve availability, resiliency, reliability, accuracy, safety, security and privacy of AI systems

This document is applicable to any organization, regardless of size, type and nature, that provides or uses products or services that utilize AI systems.

7.

Objective and rationale, including the nature of urgent problems where applicable: Quality requirements

8.

Relevant documents:

1._    KS ISO/IEC 5339, Information technology — Artificial intelligence — Guidance for AI applications

2._    KS ISO/IEC 42001:2023, Information technology — Artificial intelligence — Management system

3._    KS ISO/IEC 5338:2023, Information technology — Artificial intelligence — AI system life cycle processes

4._    NIST AI 100-1, Artificial Intelligence Risk Management Framework (AI RMF 1.0)

5._    EU's Artificial Intelligence Act, March 2024

6._    KS ISO/IEC 22989:2022, Information technology — Artificial intelligence — Artificial intelligence concepts and

terminology

7. KS ISO/IEC 25059, Software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE)

Quality model for AI systems

8. KS ISO/IEC TR 24368, Information technology — Artificial intelligence — Overview of ethical and societal concerns

9. KS ISO/IEC 23894, Information technology — Artificial intelligence — Guidance on risk management

9.

Proposed date of adoption: 30 September 2024

Proposed date of entry into force: To be determined

10.

Final date for comments: 60 days from notification

11.

Texts available from: National enquiry point [X] or address, telephone and fax numbers and email and website addresses, if available, of other body:

Kenya Bureau of Standards

WTO/TBT National Enquiry Point P.O. Box: 54974-00200, Nairobi, Kenya Telephone: + (254) 020 605490, 605506/6948258 Fax: + (254) 020 609660/609665 E-mail: info@kebs.org; Website: http://www.kebs.org