GCRI · Artificial Intelligence and Autonomous Systems
Released maps
Maps of Artificial Intelligence and Autonomous Systems are published here once their data rights are cleared and they have been reviewed. Each shows its time and space reference, its sources and its uncertainty.
01Workspace
The workspace for released maps.
GCRI · Artificial Intelligence and Autonomous Systems · Map workspaceIllustrative
Map workspace
Public service pilot · Layers 6 · Scale 1:244,000 · Example interface, not a record
Draft viewGCRI · Artificial Intelligence and Autonomous Systems
Released maps
schematic · example geography
Layers
| Models in registry | Published statistics | On |
| Evaluations passed | ASSESSED | On |
| Agent actions needing | OBSERVED | On |
| Compute per training | REPORTED | Off |
| Administrative | Published statistics | Off |
Feature inspector
- Feature
- Public service pilot · cell H-1979
- Value
- 0.3 index, illustrative
- Source passport
- SP-1771 · licence open
- Uncertainty
- range shown, not a point
Artificial Intelligence and Autonomous Systems · Map workspace. Map workspace: example names and illustrative values, not a record.
02What is shown
Released, referenced and rights-cleared.
- Time and space reference for every view.
- Sources and licence.
- Uncertainty and known limits.
- Version and date of release.
03Geography
Energy now worldwide.
Night lights, population density and land cover across the world, from NASA GIBS. Each layer carries its own date.
The interactive map needs JavaScript; the layer list and sources are below.
Layers 3
Energy now, for this page
About this layer
- Evidence
- Observed
- Source
- VIIRS Black Marble (VNP46A2) (NASA LAADS DAAC)
- Provider
- NASA LAADS DAAC
- Licence
- NASA open data
- Vintage
- daily; Satellite radiance, corrected for moonlight and atmosphere
- Newest at build
- 2026-10-12
- Resolution
- about 500 m grid
- Uncertainty
- Satellite night-time radiance for the date shown; lights are a proxy for electricity use and outages, not a measurement of supply or access.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Estimated
- Source
- Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Columbia University))
- Provider
- NASA SEDAC (CIESIN, Columbia University)
- Licence
- CC BY 4.0
- Vintage
- null; Census-based estimate, static (2020)
- Resolution
- about 1 km grid
- Uncertainty
- Census-based estimate of people per square kilometre in 2020, shown as exposure context; not a count of people affected by any hazard.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Modelled (latest month GIBS publishes)
- Source
- MERRA-2 (NASA GMAO / GES DISC)
- Provider
- NASA GMAO / GES DISC
- Licence
- NASA open data
- Vintage
- monthly; Reanalysis model; latest month GIBS publishes
- Newest at build
- 2026-07-01
- Resolution
- about 2 km grid
- Uncertainty
- Reanalysis model estimate of monthly mean incoming sunlight over land; an indicator of solar resource, not a site yield assessment.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed
- Source
- VIIRS NOAA-20 corrected reflectance (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite image
- Newest at build
- 2026-10-14
- Resolution
- about 250 m grid
- Uncertainty
- Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Modelled (latest year GIBS publishes)
- Source
- MODIS Terra and Aqua land cover (MCD12Q1) (NASA LP DAAC)
- Provider
- NASA LP DAAC
- Licence
- NASA open data
- Vintage
- yearly; Satellite classification; latest year GIBS publishes
- Newest at build
- 2024-01-01
- Resolution
- about 500 m grid
- Uncertainty
- Satellite land cover classes for the year shown, including croplands; a classification with known errors, not a farm register.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed (clouds leave gaps)
- Source
- VIIRS NOAA-20 (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite retrieval; clouds leave gaps
- Newest at build
- 2026-10-14
- Resolution
- about 1 km grid
- Uncertainty
- Satellite skin temperature of the ground on the day shown, an indicator of cooling demand; not air temperature or a heat warning.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
Keyboard, with the map focused
Hold Ctrl or ⌘ and scroll to zoom
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.
Energy now, framed on the world.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.
Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · NASA/NOAA VIIRS · NASA JPL OPERA DIST-ALERTSources 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 hexagonal 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 hexagonal 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 hexagonal 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 hexagonal cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
- MERRA-2 reanalysis, NASA Global Modeling and Assimilation Office; distributed by the NASA GES DISC; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal 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 hexagonal 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 hexagonal 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 hexagonal cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. 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 hexagonal cells where shown (modified). ODbL
- Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal 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.
- Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
- 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).
- Observed (EO): NASA JPL OPERA DIST-ALERT (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).
- NASA GIBS: 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).
- Past year, daily temperature (ERA5 via Open-Meteo): Contains modified Copernicus Climate Change Service information 2026.
- Past year, daily temperature and sunshine (NASA POWER): These data were obtained from the NASA Langley Research Center (LaRC) POWER Project funded through the NASA Earth Science/Applied Science Program..
- Weather data by Open-Meteo.com (https://open-meteo.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
- Optional layers (10 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
- Incoming sunlight at the surface over land, monthly mean: MERRA-2, NASA GMAO / GES DISC · July 2026
- True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
- Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
- Land surface temperature, day: VIIRS NOAA-20, NASA LANCE · 13 Oct 2026
04Indicators
What a released map in this field would carry.
| Indicator | Unit | Cadence | Evidence label | Topic |
|---|---|---|---|---|
| Benchmark score with uncertainty | score with confidence interval | per evaluation | Reported | Model evaluation |
| Contamination checks reported | percent of evaluations reporting checks | per evaluation | Declared | Model evaluation |
| Red-team findings by severity | count by severity class | per exercise | Reported | Model evaluation |
| Performance gap between subgroups | difference in error rates | per evaluation | Observed | Model evaluation |
| Post-deployment incident reports | count by type | monthly | Reported | Model evaluation |
| Calibration error | expected calibration error | per evaluation | Observed | Model evaluation |
| Task success rate on agent benchmarks | percent of tasks completed correctly | per evaluation | Reported | Agentic systems |
| Actions requiring human approval | percent of consequential actions | per deployment | Declared | Agentic systems |
| Prompt injection success rate | percent of attempts succeeding | per evaluation | Observed | Agentic systems |
| Agent incidents | count by severity | monthly | Reported | Agentic systems |
| Actions logged and attributable | percent of agent actions | per deployment | Observed | Agentic systems |
| Mean task length before human intervention | steps or minutes | per evaluation | Observed | Agentic systems |
| Vulnerabilities reported in AI frameworks and libraries | count of CVE entries | monthly | Reported | Ai cyber security |
| Adversarial robustness | accuracy under a stated attack | per evaluation | Observed | Ai cyber security |
| Models with signed provenance | percent of deployed models | per inventory | Declared | Ai cyber security |
| AI-related security incidents | count by technique | annual | Reported | Ai cyber security |
| Time to detect AI system compromise | hours | per incident | Observed | Ai cyber security |
| Organisations with AI security policies | percent of surveyed organisations | per survey | Reported | Ai cyber security |
| Studies sharing code and data | percent of published ML studies | per review | Observed | Ai in science |
| Leakage issues identified in reviews | count by type | per review | Reported | Ai in science |
| Out-of-distribution performance | error on held-out regimes | per evaluation | Observed | Ai in science |
| Emulator error against reference simulation | error metric | per evaluation | Observed | Ai in science |
| Journals with AI use policies | count | annual | Declared | Ai in science |
| Compute used for scientific model training | floating point operations | per model | Estimated | Ai in science |
| Public algorithm registers | count of systems registered | per update | Published statistics | Ai and public services |
| Algorithmic impact assessments completed | percent of deployed systems | annual | Declared | Ai and public services |
| Error rate by population group | difference in error rates | per audit | Observed | Ai and public services |
| Decisions appealed and overturned | count and percent | annual | Published statistics | Ai and public services |
| Systems with human review of adverse decisions | percent of systems | per review | Declared | Ai and public services |
| Audit findings on public sector algorithms | count by severity | per audit cycle | Reported | Ai and public services |
| Crashes involving automated driving systems | count by severity | monthly | Published statistics | Autonomous physical systems |
| Disengagements or interventions | count per distance or hour | annual | Reported | Autonomous physical systems |
| Distance driven autonomously | kilometres | annual | Declared | Autonomous physical systems |
| Industrial robot injuries | count | annual | Published statistics | Autonomous physical systems |
| Operating domain exceedances | count of events outside design domain | per deployment | Observed | Autonomous physical systems |
| Drone incidents near aircraft | count | annual | Reported | Autonomous physical systems |
| Data centre electricity consumption | terawatt hours per year | annual | Estimated | Compute and energy |
| Power usage effectiveness | ratio of facility to IT energy | annual | Declared | Compute and energy |
| Water usage effectiveness | litres per kilowatt hour | annual | Declared | Compute and energy |
| Grid connection requests from data centres | megawatts requested | quarterly | Published statistics | Compute and energy |
| Training compute of notable models | floating point operations | per model | Estimated | Compute and energy |
| Energy per inference | watt hours per query | per measurement | Estimated | Compute and energy |
| Employment in occupations highly exposed to AI | percent of employment | per assessment | Estimated | Labour and social effects |
| Firms using AI | percent of firms | annual | Reported | Labour and social effects |
| Workers using AI tools at work | percent of workers | per survey | Reported | Labour and social effects |
| AI-related job postings | share of postings | monthly | Observed | Labour and social effects |
| Participation in AI skills training | percent of workforce | annual | Reported | Labour and social effects |
| Wage changes in exposed occupations | percent change | annual | Published statistics | Labour and social effects |
05Process
How the process runs.
Process explorer · Process
Released maps: Layers to published map
7 steps·4 stages·1 gate
Process
Released maps: Layers to published map
Layers enter with their rights, are aligned, analysed and checked for uncertainty, then released after public-safe review; a map is a governed spatial claim.
01 Data
- 01Source layers with their rightsDataset · NXS-GRX (canonical data, provenance and risk)Spatial views of The Global Risks Index (NXS-GRX) products sit under the boundary licence gate. Rights classification sets how a layer may be used.
02 Harmonise
- 02Coordinate reference and boundary versionRecord · NXS-EOP (earth observation and digital twins)The area of interest preserves its coordinate reference system, polygon validity and observation support. Boundary versions are kept.
- 03Harmonise units, variables and timeStepUnit metadata, conversion records and transformation logs are required. Alignment is an evidence event, not hidden preprocessing.
03 Analyse and check
- 04Analyse with a recorded processing recipeModel · GIS teamA processing recipe records parameters, calibration, inputs and output lineage. The analysis methods are named in each product’s own record.
- 05Spatial uncertainty checkGateSpatial uncertainty is recorded and affects downstream use. A high-uncertainty polygon may suit internal review, not public-safe release.
04 Publish
- 06Spatial metadata bundleRecordThe bundle records boundary type, jurisdiction, geometry version, projection, resolution, source, time window, uncertainty and access class.
- 07Public-safe release of the mapDecisionThe output record names the redactions, uncertainty and public-safe reviewer. A map is a governed spatial claim, never merely a picture.
Spatio-temporal intelligence · Data protocols: semantic, jurisdictional and temporal intelligence · NXS-EOPDesigned programme process, not a record of operation. No cycle has run and every programme is at service level R0. A gate is a programme decision, never a public-authority approval, certification or deployment authorisation. The pages cited are design doctrine.
06Reading the maps
Cautions that apply to AI maps.
- Compute location maps show known facilities; many are undisclosed.
- Adoption maps based on surveys are not comparable across countries.
- Energy intensity of AI varies by workload and hardware.
07Status
Releases appear as they are reviewed.
Analysis runs in Foundry; reviewed releases are listed here.
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.
09Questions
Questions and answers.
Can I request a map or model?
Write to the contact form with what you need and why.
ReportsContribute
Contribute evidence from this page.
Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
GCRIArtificial Intelligence and Autonomous SystemsExponential TechnologyLabs Evidence
- EmailGateway GW-GCRISend it from this pageEvidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.
- ZenodoOpen depositDeposit it and submit to the communityPublish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. Curators review it; the DOI stays yours.
- ReportsGCRISee every way to contributeThe contribution types, how each is reviewed, what credit you receive, the licence and what is never accepted.
Never send personal data, sensitive infrastructure detail or anything you have no right to share. A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.
Artificial Intelligence and Autonomous Systems
Bring a method, a dataset or a question.
Information and enquiries are open today. 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.
Legal
Legal documents.
Maps, data and figures on this site are shown for context and general information. They are not advice, forecasts or warnings; the limits of the information are set out in the Disclaimers and Data Notices.