The University of Southampton
University of Southampton Institutional Repository

Governing AI for humanity : final report

Governing AI for humanity : final report
Governing AI for humanity : final report
This report outlines a blueprint for addressing AI-related risks and sharing its transformative potential globally, including by:​ ​Urging the UN to lay the foundations of the first globally inclusive and distributed architecture for AI governance based on international cooperation;​ Proposing seven recommendations to address gaps in current AI governance arrangements;​ Calling on all governments and stakeholders to work together in governing AI to foster development and protection of all human rights.​ ​This includes light institutional mechanisms to complement existing efforts and foster inclusive global AI governance arrangements that are agile, adaptive and effective to keep pace with AI's evolution.​ Extensive Global Consultations​: The report is the product of extensive consultations, involving more than 2,000 participants across all regions of the world, including via:​ 18 deep-dive discussions on key issues with top experts​ More than 50 consultation sessions across all regions​ More than 250 written submissions from over 150 organizations and 100 individuals​ The Advisory Body also commissioned an AI Risk Global Pulse Check – the most comprehensive global horizon scanning exercise on AI risks to date – and an AI Opportunity Scan to crowdsource expert assessments of emerging AI trends.
United Nations
Hall, Dame Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
UN. Advisory Body on Artificial Intelligence
Hall, Dame Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c

UN. Advisory Body on Artificial Intelligence (2024) Governing AI for humanity : final report United Nations 100pp.

Record type: Monograph (Project Report)

Abstract

This report outlines a blueprint for addressing AI-related risks and sharing its transformative potential globally, including by:​ ​Urging the UN to lay the foundations of the first globally inclusive and distributed architecture for AI governance based on international cooperation;​ Proposing seven recommendations to address gaps in current AI governance arrangements;​ Calling on all governments and stakeholders to work together in governing AI to foster development and protection of all human rights.​ ​This includes light institutional mechanisms to complement existing efforts and foster inclusive global AI governance arrangements that are agile, adaptive and effective to keep pace with AI's evolution.​ Extensive Global Consultations​: The report is the product of extensive consultations, involving more than 2,000 participants across all regions of the world, including via:​ 18 deep-dive discussions on key issues with top experts​ More than 50 consultation sessions across all regions​ More than 250 written submissions from over 150 organizations and 100 individuals​ The Advisory Body also commissioned an AI Risk Global Pulse Check – the most comprehensive global horizon scanning exercise on AI risks to date – and an AI Opportunity Scan to crowdsource expert assessments of emerging AI trends.

Text
1416782-EN - Version of Record
Available under License Other.
Download (4MB)

More information

Published date: September 2024
Additional Information: © United Nations, 2024

Identifiers

Local EPrints ID: 499480
URI: http://eprints.soton.ac.uk/id/eprint/499480
PURE UUID: ac4bc380-da08-4522-8ec6-d5319671ef03
ORCID for Dame Wendy Hall: ORCID iD orcid.org/0000-0003-4327-7811

Catalogue record

Date deposited: 20 Mar 2025 18:24
Last modified: 22 Aug 2025 01:32

Export record

Contributors

Author: Dame Wendy Hall ORCID iD
Corporate Author: UN. Advisory Body on Artificial Intelligence

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×