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GCRIArtificial Intelligence and Autonomous SystemsIn development
Research and evidence

Research and evidence

The research behind Artificial Intelligence and Autonomous Systems: the questions it asks, the methods it uses and how evidence is reviewed before it is published.

Open Methods and uncertainty Back to Artificial Intelligence and Autonomous Systems
Publisher
The Global Centre for Risk and Innovation
Field
Artificial intelligence, Data and compute
Status
In development
Service level
R0: information and enquiries

Evidence register

AI and autonomous systems · Research and evidence

Register currentGCRI · Artificial Intelligence and Autonomous Systems

Indicators

unit · cadence · label

Models in registrymodelsweeklyOFFICIALSP-9867
Evaluations passed at release of suitesper releaseASSESSEDSP-0910
Open AI incidentsincidentsdailyREPORTEDSP-2588
Agent actions needing approvalactions / daydailyOBSERVEDSP-8895
Compute per training runGPU-hoursper runREPORTEDSP-6682

Source passport

Source
Model registry
Licence
open · attribution
Steward
Incident responder
Coverage
83 pct of places
Known limits
sparse in uplands

Coverage by place

Artificial Intelligence and Autonomous Systems · Evidence registerEvidence register, in outline: domain structure with placeholder names and illustrative values, not a record.

01In brief

The short answer.

Artificial Intelligence and Autonomous Systems research is the evidence work behind the platform: questions such as model evaluation and agentic systems, answered with artificial intelligence and machine learning as well as AI evaluation and assurance engineering and reviewed before publication. Every result carries an evidence label, from observed to modelled or expert judgement, and missing data is shown as missing, never filled silently.

02Canvas

Draft to published version.

Canvas · draft to published versionDesign, not a record
Research and evidence: institutional oversight of researchCapacity and oversight only: proposals go to an institutional committee, reviewed under national rules, approved with conditions, supported by training, audited, and incidents are reported to the national body. 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 East Asia.

For research and evidence, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery, night lights and land cover with true colour from NASA GIBS, framed on East Asia; 3 further NASA layers wait in the list.

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

Layers 3

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 research and evidence, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery, night lights and land cover with true colour from NASA GIBS, framed on East Asia; 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 · Copernicus Sentinel-2 L2A · NASA HLS S30Sources 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 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
  • 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
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; 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
  • 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): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer
  • Observed (EO): NASA HLS S30 (contains modified Copernicus Sentinel data 2026). 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).
  • Optional layers (5 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

  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026
  • Vegetation greenness (NDVI), rolling 8 days: MODIS Terra NDVI, NASA LANCE · 13 Oct 2026

04Questions

What the research asks.

  1. 01

    Model evaluation

    Validity, calibration and generalization.

  2. 02

    Agentic systems

    Tool access, delegated authority and safe execution.

  3. 03

    AI cyber security

    Adversarial methods and model exposure.

  4. 04

    AI in science

    Discovery and reproducibility.

  5. 05

    AI and public services

    Public accountability, access and rights.

  6. 06

    Autonomous physical systems

    Robots, sensors and controls.

05Open questions

What AI research cannot yet answer well enough for decisions.

AI risk research has to keep pace with capability. The agenda concentrates on evaluation, agents, uses in public services and science, and the system-level effects that single-model testing misses.

  • Which evaluations predict real-world failure, rather than benchmark performance? See model evaluation.
  • How should agents that act through tools be scoped, monitored and stopped? See agentic systems.
  • What evidence should a public service require before using AI in decisions about people? See AI and public services.
  • How do autonomous physical systems fail in mixed human-machine environments? See autonomous physical systems.
  • What is the energy and water footprint of AI compute, and where does it concentrate? See compute and energy.
06Evidence

Every result keeps its label.

Results are labelled as observed, officially reported, estimated, modelled, forecast, scenario or expert judgement. Missing data is shown as missing, never filled silently.

Methods

Methods and uncertainty

How results are produced and where they stop

Sources

Source and data register

Where data comes from and on what terms

Publications

Reviewed outputs

Citable work with its editorial status

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
Research integrityConduct of research in line with principles of reliability, honesty, respect and accountability, as the European Code of Conduct for Research Integrity sets them out.
Evidence labelA tag on an assertion naming the kind of evidence behind it, such as observed, officially reported or modelled.
ReproducibilityObtaining consistent results using the same data and analysis code as the original study.
Excessive agencyGranting an AI system more permissions or autonomy than its task requires, an OWASP risk category.
08Sources

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.

09Pages

Pages in Research and evidence.

Page

Methods and uncertainty

Page

Source and data register

10Questions

Questions and answers.

Can I propose a research question?
Yes. Write to contact@therisk.global with the question, the context and who would use the answer. A proposal receives a reference; it does not commit the platform to the work.
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