Difference between revisions of "G7 AI Network"

Latest revision as of 09:33, 10 November 2025

La version française est disponible ici.

Overview

The G7 AI Network (GAIN) is a collaborative initiative launched by the G7 countries to advance responsible and effective adoption of artificial intelligence (AI) in the public sector. GAIN brings together government officials, researchers, and practitioners to share knowledge, align on best practices, and accelerate innovation in AI governance and deployment.

GAIN plays a central role in coordinating the Grand Challenge—which will be supported by a series of Rapid Solution Labs (RSL) designed to generate innovative and scalable solutions to public sector AI challenges. These labs are a key component of Canada’s commitment under the G7 Leaders’ Statement on AI for Prosperity, which includes:

Launching the G7 GovAI Grand Challenge and hosting RSL to address barriers to AI adoption in the public sector.

Establishing GAIN to develop a roadmap for scaling AI projects and curating a catalogue of open-source, shareable AI solutions.

Objectives

GAIN will aim to:

Support the design and delivery of Rapid Solution Labs across G7 and EU countries.

Facilitate knowledge exchange on public sector AI implementation.

Collaborate to ensure AI government solutions produce measurable and real benefits

Membership

GAIN includes public sector AI adoption leads from G7 member states and the European Union.

As part of this commitment, GAIN members will:

Raise awareness of the RSL in the national G7 AI ecosystem.

Share tools, frameworks, and lessons learned from scaling AI for use in public services.

Bring forward open and shareable AI solutions to inform the catalogue

Meetings and Events

GAIN convenes regularly to exchange updates, discuss emerging issues, and coordinate joint initiatives. Materials from past meetings are available below.

Upcoming Meetings and Events
- Rapid Solution Labs – November 17^{th –} December 1, 2025
- GAIN 5 – December 11th, 2025
- RSL Judging – December 2025 – January 2026
- Showcase day and Selected Recipients Announced – February 2026
- GAIN 6 – March 2026
Past Meetings
- GAIN 1 – September 10^th, 2025
  - Agenda
  - Presentation
  - Summary
- GAIN 2 – September 24^th, 2025
  - Agenda
  - Presentation
  - Summary
- GAIN 3 – October 22^nd, 2025
  - Agenda
  - Presentation
  - Summary
- GAIN 4 – November 5^th, 2025
  - Agenda
  - Presentation
  - Summary

Resources

This section includes shared documents, tools, and reference materials relevant to GAIN’s work, including:

Roadmap
Catalogue of Open-Source solutions

Contact

For questions, contact G7 AI Challenge / Defi IA G7 <G7AIChallenge-DefiIAG7@tbs-sct.gc.ca>

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-=== Contents   ===
+La version française est disponible [[Réseau IA du G7|ici]].
-# Overview
-# Objectives
-# Membership
-# Meetings and Events
-# Resources
-# Contact
-==== 1. Overview ====
+== Overview ==
 The G7 AI Network (GAIN) is a collaborative initiative launched by the G7 countries to advance responsible and effective adoption of artificial intelligence (AI) in the public sector. GAIN brings together government officials, researchers, and practitioners to share knowledge, align on best practices, and accelerate innovation in AI governance and deployment.
-GAIN plays a central role in coordinating the [[/www.canada.ca/en/government/system/digital-government/digital-government-innovations/responsible-use-ai/ai-grand-challenge.html|Grand Challenge]]—which will be supported by a series of Rapid Solution Labs (RSL) designed to generate innovative and scalable solutions to public sector AI challenges. These labs are a key component of Canada’s commitment under the [[/www.pm.gc.ca/en/news/statements/2025/06/17/g7-leaders-statement-ai-prosperity|G7 Leaders’ Statement on AI for Prosperity]], which includes:
+GAIN plays a central role in coordinating the [https://canada-preview.adobecqms.net/content/canadasite/en/government/system/digital-government/digital-government-innovations/responsible-use-ai/ai-grand-challenge.html# Grand Challenge]—which will be supported by a series of Rapid Solution Labs (RSL) designed to generate innovative and scalable solutions to public sector AI challenges. These labs are a key component of Canada’s commitment under the [https://www.pm.gc.ca/en/news/statements/2025/06/17/g7-leaders-statement-ai-prosperity G7 Leaders’ Statement on AI for Prosperity], which includes:
 * Launching the G7 GovAI Grand Challenge and hosting RSL to address barriers to AI adoption in the public sector.
@@ Line 16: / Line 10: @@
 * Establishing GAIN to develop a roadmap for scaling AI projects and curating a catalogue of open-source, shareable AI solutions.
-==== 2. Objectives ====
+== Objectives ==
 GAIN will aim to:
@@ Line 25: / Line 19: @@
 * Collaborate to ensure AI government solutions produce measurable and real benefits
-==== 3. Membership ====
+== Membership ==
 GAIN includes public sector AI adoption leads from G7 member states and the European Union.
@@ Line 36: / Line 30: @@
 * Bring forward open and shareable AI solutions to inform the catalogue
-==== 4. Meetings and Events ====
+== Meetings and Events ==
 GAIN convenes regularly to exchange updates, discuss emerging issues, and coordinate joint initiatives. Materials from past meetings are available below.
@@ Line 45: / Line 39: @@
 ** Showcase day and Selected Recipients Announced – February 2026
 ** GAIN 6 – March 2026
-* Past Meetings – *link meeting summary/presentations
+* '''Past Meetings'''
 ** GAIN 1 – September 10<sup>th</sup>, 2025
 *** Agenda
@@ Line 63: / Line 57: @@
 *** Summary
-==== '''5. Resources''' ====
+== Resources ==
 This section includes shared documents, tools, and reference materials relevant to GAIN’s work, including:
@@ Line 69: / Line 63: @@
 * Catalogue of Open-Source solutions
-==== 6. Contact ====
+== Contact ==
 For questions, contact G7 AI Challenge / Defi IA G7 <G7AIChallenge-DefiIAG7@tbs-sct.gc.ca>