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Illustrative: layers of units and their weighted connections, an activation front sweeping from input to output

Risk Academy, led by the Nexus Consortium · Technology and Digital Systems

Department of Artificial Intelligence and Autonomous Systems

The department reads an AI system as an engineered artefact with a training pipeline, a deployment context and failure modes that can be measured: distribution shift, miscalibration, prompt injection, unsafe actions by an agent, a robot leaving its operational design domain.

See the disciplines Map Artificial Intelligence and Autonomous Systems on a real place
01Map

How its disciplines connect

The map

DepartmentDisciplineNexus Standard taught here

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02Disciplines

Disciplines of the department

A filled mark is one open course in the discipline.

03Maps

Build a twin of any place

Search any place or open the world; the layers and generators follow department of Artificial Intelligence and Autonomous Systems on the planet map, the globe and in 3D.

West Cornwall: Goonhilly and the Porthcurno cable landings: a flat plan of the faculty twin. Terrain 0 to 245 m; 4 satellite dishes; 74 communication masts and towers; 12 telephone exchanges; 7 data centres and cable landing stations; 12 aerodromes; 1 telecom offices; Communication line 161 km; 729 known exploited vulnerabilities since 2023-10-17; Night-time lights, VIIRS day-night band: read live when the 3D twin opens. Contours every 25 metres from the elevation grid; communication cables by class; ground infrastructure as marks.
West Cornwall: Goonhilly and the Porthcurno cable landings, United Kingdom. Flat plan of the same data: relief as contours from the inline grid, the mapped ground infrastructure by kind, the mapped cables and the numbers below. The 3D twin opens on devices that can draw it, once its data and code have been checked.
  • Terrain 0 to 245 m
  • 4 satellite dishes
  • 74 communication masts and towers
  • 12 telephone exchanges
  • 7 data centres and cable landing stations
  • 12 aerodromes
  • 1 telecom offices
  • Communication line 161 km
  • 729 known exploited vulnerabilities since 2023-10-17
  • Night-time lights, VIIRS day-night band: read live when the 3D twin opens
Credits and dates per layer are listed under the stage. Relief in the twin is exaggerated ×1.5 for legibility.

Drag to move, right drag or Shift with a drag to turn and tilt, Ctrl with the wheel to zoom. Keyboard: arrows move, Shift with arrows turn and tilt, + and – zoom, 0 resets, V steps through the views, Escape clears.

Flat plan of the same data: relief as contours from the inline grid, the mapped ground infrastructure by kind, the mapped cables and the numbers below. The 3D twin opens on devices that can draw it, once its data and code have been checked.

The boundaries, names and designations shown do not imply any judgement on the legal status of any territory, or any endorsement or acceptance of such boundaries. Countries: Natural Earth (public domain).

04Live map

Connected activity in the United Kingdom and Ireland

Night-time lights and population density, the footprint of electrified, connected activity, over the United Kingdom and Ireland.

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

Layers 2

Connected activity

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.

Connected activity, framed on the United Kingdom and Ireland.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 EONETSources 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). doi:10.7927/H49C6VHW. 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). 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 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.
  • Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
  • 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).
  • Optional layers (3 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
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026

05Console

How the Artificial Intelligence and Autonomous Systems department teaches, as a process you can run

Press Play to run this process from this page's own data.

06Standards and evidence

Standards and evidence, research and evidence, learning, practice and connections

Nexus Standards it teaches and relies on

The Nexus Standards the department teaches toward, grouped by master standard, with the disciplines that teach each.

Nexus Standards at the AcademyThe Academy proposes how each discipline teaches toward the Nexus Standards; the mapping is open for public review.

07Take part

Take part in Technology and Digital Systems

Start from who you are.

08Questions

Questions, answers and key terms

Is study here free?
Yes. Every course and learning material of Risk Academy, led by the Nexus Consortium, is free to study, self-paced or with a cohort. Ordinary participation has no fee; paid work, internships and fellowships are separate arrangements.
What does completing a course give me?
A completion record: the course, its version, the date and what was assessed, private by default and shared by you. It stacks into discipline, department and programme achievements. A record states what was studied and assessed and does not certify competence; it is not a licence, a professional title or an employment status.
Where do the data and the places come from?
Every faculty teaches on a twin of a real place built from open data; each layer carries its provider, licence and date, and every result on the Academy states its source. Maps and figures are indicators for teaching, never an assessment of a place.
How do I take part beyond the department's courses?
Form a competence cell of three to seven people, study a shared pathway, take a supervised assignment in the National Working Groups, or bring a cohort from your institution. For organisations.

Key terms

Term

Artificial intelligence and machine learning

This area covers how AI and machine learning systems are built and deployed, and the reliability, security and societal effects that follow: foundation models and generative AI, agentic systems, AI in science and public services, and AI failure modes.

Term

AI safety and evaluation

This area covers how the capabilities, reliability and risks of AI systems are tested before and after deployment: evaluation design, red-teaming, benchmarks and their limits, safety cases for frontier models and agentic systems, and incident reporting.

Term

Robotics and autonomous systems

This area covers robots and autonomous systems that act in the physical world, from industrial and collaborative robots to autonomous vehicles, drones and uncrewed systems.

Term

AI assurance and audit

This area covers how organisations and third parties establish justified confidence in AI systems: impact assessment, conformity assessment, audits of AI management systems, assurance cases and the documentation regulators require.

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.

Risk Academy
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Around the Department of Artificial Intelligence and Autonomous Systems

Department of Artificial Intelligence and Autonomous Systems

Choose a discipline

Each discipline page sets out its scope, courses, labs, technology and key terms.

Open Artificial intelligence and machine learning Browse the course catalogue