A-P07 · ABOUT · aboutGRA dossier · service level R0
GRAAI and Financial Model RiskIn development
Industry scope and publisher

Industry scope and publisher

AI and Financial Model Risk is a specialist platform of The Global Risks Alliance (GRA), in development at its canonical address. Its scope is model governance and the responsible use of AI in financial decision processes and risk measurement. This page identifies the publisher, a United States business league for the financial services industry, describes the professional community the platform serves and sets out the legal limitations that apply to everything it does.

Make an enquiry Back to AI and Financial Model Risk
In this dossier7 parts
  1. 01In briefThe short answer
  2. 02PublisherA business league for the financial services industry
  3. 03Field and frameAI and Financial Model Risk: the field and the rules it is read against
  4. 04BoundaryWhat AI and Financial Model Risk never discusses or produces
  5. 05Industry scopeWho the platform is for
  6. 06Legal limitationsWhat the platform does not do
  7. 07ConnectionsWhere the platform sits

GRA · In development · service level R0

STEM methods
4
Canonical methods this field applies
Topics
8
Subject pages in the field
Counterparts
5
Platforms in shared fields at GCRI, GRF and GRA
Report series
2
Nexus Reports series it contributes to
01In brief

The short answer.

AI and Financial Model Risk is a specialist platform of The Global Risks Alliance for artificial intelligence and financial stability. Its mandate covers model governance and responsible AI use in financial decision processes and risk measurement. GRA publishes it, answers for its content and takes no decision on anyone's behalf. It is in development at service level R0, and activities open as each is ready.

02Canvas

Mandate to authority.

Canvas · mandate to authorityDesign, not a record
How AI and Financial Model Risk is governedA mandate sets the platform's scope; an editor and reviewers govern what it publishes; programmes and the community supply the work; the integrity route handles corrections; authority over decisions stays outside. Design of the governance, not a record.

Fig.How the platform is governed, from its mandate to the authorities who decide. Design, not a record.

03Geography

Connected activity in California.

For industry scope and publisher, 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.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 2

Connected activity, for this page

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

For industry scope and publisher, 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.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA/NOAA VIIRS · CIESIN/Columbia, NASA SEDAC HBASE · GDACSSources and licences

  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). CC BY 4.0
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
  • Observed (EO): NASA/NOAA VIIRS (Suomi NPP). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).
  • Context: CIESIN/Columbia, NASA SEDAC HBASE. Center for International Earth Science Information Network (CIESIN), Columbia University, and NASA Socioeconomic Data and Applications Center (SEDAC): Global Human Built-up And Settlement Extent (HBASE) 2010; Seto, Guneralp and Hutyra 2012, Global Grid of Probabilities of Urban Expansion to 2030; Global Urban Heat Island (UHI) Data Set, 2013.
  • Live: GDACS (EC JRC / UN OCHA) Events are indicative, not official warnings.
  • Optional layers (4 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026

04Publisher

A business league for the financial services industry.

GRA is a nonprofit corporation registered in Nevada, United States, operating as a business league for the financial services industry. A business league works on the common business interest of an industry as a whole, not on the private business of any one member. GRA is one of the three pillar institutions of Nexus Consortiums, alongside The Global Centre for Risk and Innovation (GCRI) and The Global Risks Forum (GRF).

The platform exists separately because finance-domain model risk differs from general technical AI safety and from generic fintech innovation. AI and Financial Model Risk is in development. Its pages set out its scope and how it is designed to work, and its activities, records and outputs are published here as each one opens. The current service level is R0: information and enquiries.

05Field and frame

AI and Financial Model Risk: the field and the rules it is read against.

AI and Financial Model Risk is a GRA platform in development. Its thesis concerns model governance and responsible AI use in financial decision processes and risk measurement. It serves model risk managers and validators, data scientists in finance, AI governance leads and supervisors.

Standard setterInstrument that frames the work of AI and Financial Model Risk
US agenciesSR 26-2
PRASS1/23
EUAI Act
06Boundary

What AI and Financial Model Risk never discusses or produces.

  • Model validations for firms, in any AI and Financial Model Risk setting.
  • Vendor endorsements, in any AI and Financial Model Risk setting.
  • Fairness opinions, in any AI and Financial Model Risk setting.
  • Legal advice, in any AI and Financial Model Risk setting.
07Industry scope

Who the platform is for.

The professional community spans banks, insurers, asset managers, market infrastructures and fintech firms, together with researchers who study model risk.

Model risk teams

Governance and oversight

Those who maintain model inventories, policies and oversight across an institution.

Quantitative validators

Independent challenge

Specialists who test model design, data, implementation and performance.

Responsible AI leads

Ethics and accountability

Those responsible for fairness, explainability and human oversight of AI systems.

09Connections

Where the platform sits.

AI and Financial Model Risk belongs to the artificial intelligence and financial stability fields. Its science counterpart is Artificial Intelligence and Autonomous Systems at GCRI and its governance counterpart AI and Digital Governance at GRF. Read the financial discipline overview and financial-system transmission.

10Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
Service level R0The current service level of Nexus pages: information and enquiries only. An enquiry receives a reference and a named next step; it creates no membership, contract, assignment or commitment.
Conflict of interestA situation in which financial, professional or personal interests could compromise, or appear to compromise, judgement in research or review.
Model riskThe potential for adverse consequences from decisions based on incorrect or misused model outputs, as SR 11-7 describes it.
Model validationIndependent testing that a model performs as intended and is fit for a stated use.
11Sources

Where this page's references lead.

The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.

12Questions

Questions and answers.

Is AI and Financial Model Risk a separate organization?
No. It is a specialist platform of The Global Risks Alliance (GRA), which publishes it.
Can a vendor use the platform to promote a model?
No. The platform does not endorse, rate or promote products, and sponsorship confers no editorial control or favourable treatment.
Who can I contact about compliance questions?
Write to compliance@globalriskalliance.com. General enquiries go to contact@globalriskalliance.com.
What is the platform's current status?
AI and Financial Model Risk is in development. Its pages set out its scope and how it is designed to work, and its activities, records and outputs are published here as each one opens. The current service level is R0: information and enquiries.
Related

Around AI and Financial Model Risk.

AI and Financial Model Risk

Bring your expertise to this field.

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.

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