Page 25 - Shaping ethics, regulation and standardization in AI for health

Shaping ethics, regulation and standardization in AI for health

Annex A: The FG-AI4H deliverables

The completed (pre-published or published) 36 FG-AI4H deliverables [1] are listed below. For
information on incomplete deliverables, refer to the collection in the FG-AI4H collaboration area
that are marked as archived at https:// extranet .itu .int/ sites/ itu -t/ focusgroups/ ai4h/ Deliverables
(ITU account needed).

DEL 0: Overview of the FG-AI4H deliverables

Summary: This document provides the overview of the planned deliverables for the ITU-T
Focus Group on AI for health (FG-AI4H) to provide a standardization framework on artificial
intelligence for health with a combination of horizontal and vertical perspective. The horizontal
perspective reviews deliverables DEL1 to DEL9 including the generalized considerations on
ethics, regulatory, requirement, data processing, model training, model evaluation, adoption
and scale-up, etc. The vertical perspective summarizes use cases in specific domain with
corresponding artificial intelligence/ machine learning tasks, for example 24 topic description
documents (DEL 10.1-DEL 10.24 as of 2023-09-27) of topic groups in the FG-AI4H.

A�1 Ethics

A�1�1 DEL 1: Ethics and governance of artificial intelligence for health

Summary: Artificial Intelligence (AI) refers to the ability of algorithms encoded in technology
to learn from data so that they can perform automated tasks without every step in the process
having to be programmed explicitly by a human. While AI holds great promise for the practice
of public health and medicine, ethical challenges for health care systems, practitioners and
beneficiaries of medical and public health services must be addressed. Many of the ethical
concerns described in this document predate the advent of AI, although AI itself presents a
number of novel concerns.

This document endorses a set of six key ethical principles:

– Protect human autonomy
– Promote human well-being and safety and the public interest
– Ensure transparency, explainability and intelligibility
– Foster responsibility and accountability
– Ensure inclusiveness and equity
– Promote AI that is responsive and sustainable

It is hoped that these principles will be used as a basis for governments, technology developers,
companies, civil society and inter-governmental organizations to adopt ethical approaches to
appropriate use of AI for health.

A�2 Regulatory

A�2�1 DEL 2: Regulatory considerations on artificial intelligence for health

Summary: This publication contains an overview of regulatory concepts on artificial intelligence
for health that is not intended as a guidance, as a regulatory framework, or policy. Rather, it is
a discussion of key regulatory concepts and a resource that can be considered by all relevant

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