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.
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.
Technology and Digital SystemsAny placeTwin builder
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.
Known exploited vulnerabilities Catalogue entries added in the last three years with six fields: CVE id, vendor or project, product, date added, due date and the known ransomware campaign use flag. Source: CISA Known Exploited Vulnerabilities Catalog (CC0 1.0), snapshot 2026-10-17, catalogue version 2026.10.16. read 2026-10-17.Estimate: A dated snapshot, never a live or complete vulnerability feed; vendor and product names are the vendors' own marks shown as data; no CISA logo or DHS seal.
Night-time lights, VIIRS day-night band Night-time radiance for the date shown, draped on the terrain, as a proxy for where settlements and sites draw power. VIIRS SNPP day-night band at-sensor radiance, NASA, via NASA GIBS, with the product date. Live: this page requests gibs.earthdata.nasa.gov when the layer is opened; the data date is printed with it.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).Estimate: Satellite radiance with moonlight and cloud not corrected in this product; lights are a proxy, never a measurement of electricity supply, access or outages.
Why this place: One box of about 57 by 55 kilometres holds Goonhilly Earth Station (the ground segment of satellite communications since 1962 and a deep-space ground station today), the Porthcurno valley where transatlantic telegraph and later fibre cables came ashore, the Culdrose air station and the telecom masts of a rural peninsula, so the ground segment, cable landings and the resilience of positioning, navigation, timing and communication can be taught in one place. Data quality: OpenStreetMap coverage of the United Kingdom is complete for masts, dishes and named sites, Copernicus DEM GLO-30 covers the terrain in four tiles, and VIIRS night lights show where the digital economy draws power. It connects to the Space systems, space weather and navigation, cybersecurity, Digital public infrastructure and digital identity and Data infrastructure, compute and semiconductors disciplines of the atlas.
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.
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.
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
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
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.
Research and tools
Research and preprints as they are published, by discipline, with the faculty's other tools.
The hub lists the newest research and preprints for 4 disciplines, each with its source and date. Open the research hub
Artificial intelligence and machine learning, AI safety and evaluation, Robotics and autonomous systems, AI assurance and audit
Courses of the department
Courses for this department are in development; until they open, study it through the connected courses below and the open lessons on its discipline pages.
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
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