A-P07 · EVIDENCE · innovationGRA dossier · service level R0
GRAAI and Financial Model RiskIn development
Innovation and practical technology

Technology and emerging practices

Technology relevant to artificial intelligence and financial stability: what it can do, the constraints it faces and its consequences for people and institutions.

Publisher
The Global Risks Alliance
Field
Artificial intelligence, Financial stability
  1. 01Draftsources cited, labels attached
  2. 02Evidence checkevery value traced
  3. 03Independent reviewconflicts declared
  4. 04Editionpublished with its limits
  5. 05Correctiona new version, never a silent edit
01In brief

The short answer.

Innovation at AI and Financial Model Risk is the evaluation of technology relevant to artificial intelligence: the need it addresses, the evidence behind it, its constraints and its consequences for safety, rights and the environment. Promising work can be built in Nexus Foundry and tested in Nexus Universe; nothing is called proven before test and review, and no product is endorsed.

02Canvas

Draft to published version.

Canvas · draft to published versionDesign, not a record
Technology and emerging practices: an innovation through readiness gatesAn idea is tested as a concept, validated in the lab, piloted with an owner under safeguards and reviewed for adoption; each gate asks for evidence of effect, safety and cost before the next stage. Design of the process, not a record of a run.

Fig.How a finding is reviewed before it is published. Design, not a record.

03Geography

Connected activity in California.

For technology and emerging practices, 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 technology and emerging practices, 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

04Approach

Evaluate before adopting.

  1. 01

    Need

    Which problem does the technology address, and for whom?

  2. 02

    Evidence

    What has been demonstrated, under what conditions, and what remains untested?

  3. 03

    Constraints

    Cost, skills, infrastructure, data and governance requirements.

  4. 04

    Consequences

    Effects on safety, rights, equity and the environment.

05Emerging practice

What is changing in the AI and Financial Model Risk field.

  • Foundation models: studied by AI and Financial Model Risk for its risk, not promoted.
  • Agentic systems: studied by AI and Financial Model Risk for its risk, not promoted.
  • EO-based exposure: studied by AI and Financial Model Risk for its risk, not promoted.

For each change, AI and Financial Model Risk asks what new dependency, concentration or model risk it creates for model risk managers and validators, and which of US agencies, PRA and EU has addressed it so far.

06Build and test

From idea to tested capability.

Promising work can be built in Nexus Foundry and tested under controlled conditions through Nexus Universe. No technology is described as proven before it has been tested and reviewed.

07Key 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
Technology readiness levelA scale from basic principles to proven operation that describes how mature a technology is.
Responsible innovationAnticipating and governing the effects of new technology together with society.
TestbedA controlled setting, from a lab rig to a field site or sandbox, for trying a technology before it meets real conditions of use.
Effective challengeCritical, independent analysis of a model by competent people with the authority to require changes.
09Questions

Questions and answers.

Does the platform endorse products?
No. It evaluates technologies and publishes what it finds, with limits. It does not endorse, certify or recommend products or vendors.
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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