The Global Risks Alliance (GRA)
Moderated groups where specialists discuss questions in AI and Financial Model Risk. Each group is listed here when its moderation, terms and hosting are in place, with its scope and how to join.
AI and model risk · Industry groups
| AI model risk WG | 12 | 3 | Week 27 | Active |
| Model owners forum | 16 | 9 | Week 18 | Active |
| Validation WG | 25 | 2 | Week 15 | Active |
| Monitoring WG | 28 | 4 | Week 18 | Active |
AI and Financial Model Risk · Community workspaceCommunity workspace, in outline: domain structure with placeholder names and illustrative values, not a record.
AI and Financial Model Risk subject groups are moderated forums where model risk teams and quantitative validators discuss open questions in the artificial intelligence field, such as model risk governance and credit and pricing models. Each group is listed once its moderation, terms and hosting are in place, with its scope and how to join. A group informs the platform's work and has no authority over its findings.
Fig.The path from an enquiry to a credited contribution. Design, not a record; no step creates membership.
For industry groups, in GRA's spatial-finance reading, the map opens on night lights and population density with night lights tonight from NASA GIBS, framed on California; 3 further NASA layers wait in the list.
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Layers 2
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NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
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For industry groups, in GRA's spatial-finance reading, the map opens on night lights and population density with night lights tonight from NASA GIBS, framed on California; 3 further NASA layers wait in the list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.
Layers and dates
No AI and Financial Model Risk group is open yet; each is listed with its status when it opens.
| Proposed group | What it would examine | Out of scope |
|---|---|---|
| Generative AI governance | How to govern generative AI? | model validations for firms |
| Explainability | Do explanations help? | vendor endorsements |
| Drift monitoring | How do common models herd? | fairness opinions |
Each proposed AI and Financial Model Risk group would publish its scope, moderator and terms before opening, and would work from model records and monitoring data.
Write to contact@globalriskalliance.com. The acknowledgement gives a reference and names the next step.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| Community of practice | A group of people who share a concern or a craft and learn to do it better by interacting regularly; the term comes from Lave and Wenger's work on situated learning. |
| Chatham House Rule | A rule under which participants may use information received but may not reveal the identity or affiliation of speakers. |
| Effective challenge | Critical, independent analysis of a model by competent people with the authority to require changes. |
| Model tiering | Classifying models by materiality and complexity to set how deeply each is validated and monitored. |
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.