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The financial services industry faces substantial challenges in safely and responsibly adopting artificial intelligence (AI), particularly generative AI. This includes managing unique risks around model bias, transparency, explainability, and data privacy, as well as meeting rigorous regulatory requirements. Currently, FSIs lack a dedicated governance framework to consistently identify, assess, and control these AI-specific risks, making it difficult to align with regulatory standards and industry best practices.
Proposed Solution
The AI Governance Framework (AIGF) is an open, machine-readable standard that provides a comprehensive risk-based governance model for AI in financial services. At the moment, the framework includes specifications for 14 key risks and 16 controls, tailored to generative AI. Inspired by NIST AI Risk Management Framework, AIGF enables FSIs to implement governance policies that align with regulatory and ethical requirements, supporting safe AI deployment across the industry.
Tentative Roadmap
Short-term (0-6 months):
Establish an AIGF-specific GitHub repository for community contributions
Launch AIGF Version V1 with foundational risk-control mappings and integration with CCC
Begin development of a machine-readable version to support Governance as Code (GaC) integration
Medium-term (6-12 months):
Expand the use case coverage
Expand the machine-readable framework to integrate with automated compliance tools
Engage with regulators to explore incorporating compliance requirements.
Success: Widespread adoption of AIGF as a core AI governance standard by FSIs, with active community input driving its ongoing evolution.
Scope
The scope of AIGF includes defining risk assessment, governance controls, and compliance processes specifically for generative AI in financial services. The framework will prioritize clear risk definitions, categorized controls, and architecture integrations to support practical deployment.
Current State
The AIGF V0 documentation, along with related materials, is available via the AI Readiness SIG repository. If accepted, AIGF will be moved to a dedicated repository to facilitate ongoing development.
The project seeks contributors with expertise in AI governance, risk management, and regulatory compliance in financial services. Ideal participants include CISOs, AI compliance officers, risk management leads, and legal experts in digital compliance within FSIs.
Infrastructure needs
Describe the FINOS infrastructure you will need for this project, in addition to a GitHub repository. The FINOS team will connect with you before setting up any of this infrastructure
Upon submission of this project proposal, the FINOS team will get in touch with you to discuss next steps.
Contribution process (v. 1.0, last updated on May 26, 2021)
Below is the list of tasks that FINOS Team and the contribution author go through in order to complete the FINOS contribution process. Please do not edit these contents at contribution time!
FINOS Contrib POC
Identify and Assign FINOS Contrib POC
Kick-off meeting
Set up kick-off meeting with project leads to cover
Lead maintainer to send out announcement to [email protected] using this template:
Dear FINOS Community,
We would like to propose a new FINOS project. Please review the proposal details at (_TODO: add link to the GitHub issue proposal_).
If you're interested in participating, please :+1: the GitHub issue proposal and drop a comment with your name, org and email
Thanks a lot,
Identify project meta (Lead: FINOS Contrib POC, Support: FINOS Marketing)
Project Name
Standard Name
Assess current trademark status
Define new project name (if applicable)
Design new project logo (if applicable)
Trademark new project name and logo (if applicable)
Category and sub-category (for FINOS Landscape)
Existing code or new Github repository
Existing code releases (and which artifact repositories are used)
Team composition: lead maintainer and other maintainers
For each maintainer identified in the previous step, collect: the following info:
Fullname
GitHub username
Corporate email address
Identify other existing contributors (assuming there's a contribution history (eg Git history)
Maintainers to determine if participants will be required to execute a Community Specification License Agreement (CSLA) or submit a Pull Request to accept the license terms.
(optional) Check if maintainers, editors, and other participants are covered by a FINOS CSLA
Project Communication Channel(s)
Ask maintainers which communications channels they'd like to use
Asynchronous
GitHub Issues (public)
GitHub Discussions (public)
GitHub Team Discussions (public and privateFINOS CLAs Required)
Google Groups or Groups.io
Synchronous
FINOS Slack Channel (general public Slack / leadership private Slack)
Create the identified communication channels during infra set up
Link communication channels linked front and center in the project README.md
Approval (Lead: FINOS Infra)
Assign issue to Executive Director (@mindthegab) to trigger voting
(optional). If additional socialization is required, the Executive Director may bring standards projects to the FINOS Governing Board
FINOS accepts the contribution/new standard project (and the contribution process can move forward)
Assets transfer (optional - Lead: FINOS Infra)
Check GitHub repository transfer requirements:
finos-admin has Admin to all repositories to transfer
finos-admin ia allowed to transfer repositories out of the org
if the repository is owned by a user (and not an org), the user must be able to transfer the repository to finos-admin
Transfer all code assets as GitHub repositories under github.com/finos
Invite GitHub usernames to GitHub FINOS Org
Create <project-name>-maintainers GitHub team and invite users
Configure finos-admins and finos-staff team permissions
Infra setup (Lead: FINOS Infra)
Update release coordinates and code namespace to include finos (best effort)
lucaborella89
changed the title
AI Governance Framework / Standard Project Contribution and Onboarding
AI Governance Framework - Standard Project Contribution and Onboarding
Nov 7, 2024
@eddie-knight @finos/toc Is there anything blocking @TheJuanAndOnly99 and the FINOS team from creating the infrastructure for this project? It's an already advanced ongoing activity in FINOS with wide support and contribution, albeit started under a SIG, so I assume this is just a formality.
Please note that only FINOS members can propose new Standards projects. If you're interested in membership, see https://www.finos.org/membership-benefits#become-a-member.
Business Problem
The financial services industry faces substantial challenges in safely and responsibly adopting artificial intelligence (AI), particularly generative AI. This includes managing unique risks around model bias, transparency, explainability, and data privacy, as well as meeting rigorous regulatory requirements. Currently, FSIs lack a dedicated governance framework to consistently identify, assess, and control these AI-specific risks, making it difficult to align with regulatory standards and industry best practices.
Proposed Solution
The AI Governance Framework (AIGF) is an open, machine-readable standard that provides a comprehensive risk-based governance model for AI in financial services. At the moment, the framework includes specifications for 14 key risks and 16 controls, tailored to generative AI. Inspired by NIST AI Risk Management Framework, AIGF enables FSIs to implement governance policies that align with regulatory and ethical requirements, supporting safe AI deployment across the industry.
Tentative Roadmap
Short-term (0-6 months):
Medium-term (6-12 months):
Success: Widespread adoption of AIGF as a core AI governance standard by FSIs, with active community input driving its ongoing evolution.
Scope
The scope of AIGF includes defining risk assessment, governance controls, and compliance processes specifically for generative AI in financial services. The framework will prioritize clear risk definitions, categorized controls, and architecture integrations to support practical deployment.
Current State
The AIGF V0 documentation, along with related materials, is available via the AI Readiness SIG repository. If accepted, AIGF will be moved to a dedicated repository to facilitate ongoing development.
Existing Materials
https://air-governance-framework.finos.org/
Development Team
Maintainers
Potential contributors
Below the list all of the individuals that have expressed interest in this project by requesting access to the Governance Framework when it was a private repository:
Arnau Oller - TradeHeader @arnauoller
Victor - Independent @victorjunlu
JohnMark - FannieMae - @johnmark
Gerardo Lisboa - ESPO - @gvlx
Andrew Martin - ControlPlane - @sublimino
Frederick F. Kautz IV - Testifysec - @fkautz
eltonjude- - @eltonjude
Rohan Deshpande - Goldman Sachs - @appwiz
jamesheward - Scott Logic - @jamesheward
mcoimbat - Morgan Stanley - @mcoimbat
Mehak Mehta - Morgan Stanley - @mehakmehta21
pmehta1 - Morgan Stanley - @pmehta1
Damien Burks - Citi - @damienjburks
Yasir Alibrahem @YasirAlibrahem
Eddie Knight - Sonatype - @eddie-knight
Kevin Alwell - GitHub - @alwell-kevin
Peter Smulovics - Morgan Stanley - @psmulovics
Ray Meredith - GitHub - @RaydioAM
gibsonlam - BMO - @gibsonlam
bshravancmu @bshravancmu
torinvdb - ControlPlane - @torinvdb
Lori Lorusso - Percona - @LoriLorusso
Yan - Microsoft - @yt-ms
Daniele Casal - Lloyds - @d-casal
jamesoche @jamesoche
Jared Lambert - Microsoft - @jared-lambert
gkocak-scottlogic - Scott Logic - @gkocak-scottlogic
Target Contributors
The project seeks contributors with expertise in AI governance, risk management, and regulatory compliance in financial services. Ideal participants include CISOs, AI compliance officers, risk management leads, and legal experts in digital compliance within FSIs.
Infrastructure needs
Describe the FINOS infrastructure you will need for this project, in addition to a GitHub repository. The FINOS team will connect with you before setting up any of this infrastructure
What's next?
Upon submission of this project proposal, the FINOS team will get in touch with you to discuss next steps.
Contribution process (v. 1.0, last updated on May 26, 2021)
Below is the list of tasks that FINOS Team and the contribution author go through in order to complete the FINOS contribution process.
Please do not edit these contents at contribution time!
FINOS Contrib POC
Kick-off meeting
Proposal (Lead Maintainer)
Lead maintainer to send out announcement to [email protected] using this template:
Identify project meta (Lead: FINOS Contrib POC, Support: FINOS Marketing)
Maintainers, contributors and CLAs (Lead: FINOS Contrib POC, Support: FINOS infra)
Project Communication Channel(s)
Approval (Lead: FINOS Infra)
(optional). If additional socialization is required, the Executive Director may bring standards projects to the FINOS Governing Board
Assets transfer (optional - Lead: FINOS Infra)
Admin
to all repositories to transfer<project-name>-maintainers
GitHub team and invite usersfinos-admins
andfinos-staff
team permissionsInfra setup (Lead: FINOS Infra)
finos
(best effort)Metadata update (Lead: FINOS Infra)
Mailing list (optional)
Announcement (Lead: FINOS Contrib POC)
Marketing collateral and Social (Lead: FINOS Marketing)
Onboarding and training (Lead: FINOS Infra)
Press Release (OPTIONAL - Lead: FINOS Marketing)
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