Difference between revisions of "G7 AI Network"
| (One intermediate revision by the same user not shown) | |||
| Line 1: | Line 1: | ||
| − | == | + | La version française est disponible [[Réseau IA du G7|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. | 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. | ||
| Line 8: | Line 10: | ||
* Establishing GAIN to develop a roadmap for scaling AI projects and curating a catalogue of open-source, shareable AI solutions. | * 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: | GAIN will aim to: | ||
| Line 17: | Line 19: | ||
* Collaborate to ensure AI government solutions produce measurable and real benefits | * 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. | GAIN includes public sector AI adoption leads from G7 member states and the European Union. | ||
| Line 28: | Line 30: | ||
* Bring forward open and shareable AI solutions to inform the catalogue | * 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. | GAIN convenes regularly to exchange updates, discuss emerging issues, and coordinate joint initiatives. Materials from past meetings are available below. | ||
| Line 37: | Line 39: | ||
** Showcase day and Selected Recipients Announced – February 2026 | ** Showcase day and Selected Recipients Announced – February 2026 | ||
** GAIN 6 – March 2026 | ** GAIN 6 – March 2026 | ||
| − | * Past Meetings | + | * '''Past Meetings''' |
** GAIN 1 – September 10<sup>th</sup>, 2025 | ** GAIN 1 – September 10<sup>th</sup>, 2025 | ||
*** Agenda | *** Agenda | ||
| Line 55: | Line 57: | ||
*** Summary | *** Summary | ||
| − | == | + | == Resources == |
This section includes shared documents, tools, and reference materials relevant to GAIN’s work, including: | This section includes shared documents, tools, and reference materials relevant to GAIN’s work, including: | ||
| Line 61: | Line 63: | ||
* Catalogue of Open-Source solutions | * Catalogue of Open-Source solutions | ||
| − | == | + | == Contact == |
For questions, contact G7 AI Challenge / Defi IA G7 <G7AIChallenge-DefiIAG7@tbs-sct.gc.ca> | For questions, contact G7 AI Challenge / Defi IA G7 <G7AIChallenge-DefiIAG7@tbs-sct.gc.ca> | ||
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 17th – 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 10th, 2025
- Agenda
- Presentation
- Summary
- GAIN 2 – September 24th, 2025
- Agenda
- Presentation
- Summary
- GAIN 3 – October 22nd, 2025
- Agenda
- Presentation
- Summary
- GAIN 4 – November 5th, 2025
- Agenda
- Presentation
- Summary
- GAIN 1 – September 10th, 2025
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>