Risk Academy, a Nexortium programmeTechnology and Digital SystemsDepartment of Artificial Intelligence and Autonomous Systems

Foundation models, agentic systems, failure modes and robustness

Artificial intelligence and machine learning

Artificial intelligence and machine learning covers how models are built from data and training pipelines, how they are deployed in science and public services, and the reliability, security and societal effects that follow.

Open the twin builder Open RAT-204

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risksacademy.comtechnology-digitaldiscipline

Artificial intelligence and machine learning, drawn as a circuit: 0 primary courses open, 0 in preparation, 1 approved for authoring and 4 also taught here, across 9 subtopics and 2 connected disciplines. Courses: RAF-127 L1 approved for authoring, RAS-413 L2 also taught here, RAT-204 L2 also taught here, RAT-212 L3 also taught here, RAT-217 L3 also taught here.
Artificial intelligence and machine learning at a glance. Drawn as a circuit.
  • Open, 0
  • In preparation, 0
  • Approved for authoring, 1
  • Also taught here, 4
  • Subtopics, 9
Course codes from the curriculum; study levels L1 to L4.
Twin builder and simulatorWest Cornwall: Goonhilly and the Porthcurno cable landings4 twin generators, 8 layers, 3 instruments
courses open now
0
in preparation
0
approved for authoring
1
satellite dishes
4

Twin figures for West Cornwall: Goonhilly and the Porthcurno cable landings, counted from its layers at their stated dates.

Twin builder and simulator.

For Artificial intelligence and machine learning: the faculty's twin of the Lizard and Penwith on the planet map, the globe and in 3D. Pick a generator, switch layers, run the instruments; every layer prints its provider and date.

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: live, loads in the twin. 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 with WebGL once its data and library 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: live, loads in the twin
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 with WebGL once its data and library have been checked.

The map loads from this site as it nears the view (MapLibre 6.9.1, checked by hash).

The discipline in brief.

The discipline teaches machine learning for risk professionals, distribution shift and robustness testing, hallucination and calibration measurement, prompt injection and data poisoning as security failures, agentic systems and the human oversight arrangements they need, under the AI management standard ISO/IEC 42001:2023, its impact assessment companion ISO/IEC 42005:2025, the NIST AI Risk Management Framework 1.0 with its Generative AI Profile and the obligations of Regulation (EU) 2024/1689. The faculty's evaluation ledger records what a model scored on which task with what evidence. A graduate can state a model's intended use, measure its robustness to a named shift, log the result with evidence and write the oversight arrangement a deployment needs.

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. It is taught in the department of Artificial Intelligence and Autonomous Systems, Faculty of Technology and Digital Systems, through courses still to be authored and 4 more that also teach it.

What the discipline covers.

9 subtopics, taught across its courses and labs.

Courses
0 open, 0 in preparation
Levels
None yet
Labs
GeoAI lab, Network lab, Geo quiz
  • Machine learning for risk professionals
  • Foundation models and generative AI
  • Data and training pipelines
  • AI failure modes and robustness
  • Agentic systems
  • AI security
  • AI in public services
  • AI in science
  • Labour and social effects of AI

Not yet taught by a course: AI literacy for risk professionals.

What is changing now.

Recent developments in artificial intelligence and machine learning, each with its source; sources checked on 16 October 2026. Summaries are short readings of the source; follow the link for the full account.

The faculty hub.

News and research as they are published, per discipline, with the faculty's other tools.

The newest research, preprints, news and humanitarian reports for Artificial intelligence and machine learning, each with its source and date, load here. Open the research and news hub

Hazard families it covers.

From the Academy's risk taxonomy: the discipline's own entries and those of its primary courses, with how many courses teach each.

Hazard families

  1. AI and algorithmic failurescope

No course yet.

No course has this as its primary discipline yet. It is listed so the gap stays visible.

Introductory coverage: the only open course that teaches this discipline is a broad technology and data course; deeper courses are in preparation or on the authoring list.

The courses on its authoring list are named below.

Courses from other disciplines.

These courses count in their own primary discipline and also teach this one; they do not count towards its achievement as primary courses.

1 course approved for authoring.

Approved for authoringno enrolment and no achievement until authored and reviewed

  1. RAF-127AI Literacy for Risk ProfessionalsApproved for authoringL1 Introductory, about 6 hours (estimate)

Where the subject is worked on.

Cited as places where the subject is practised; the institutions named are sources here, and Risk Academy hosts every course.

The three Foundry systems where it is practised.

How the subject is practised in labs.

LabWhat you do in itCourses using it
GeoAI labApply Earth observation and machine learning to open imagery2
Network labBuild dependency graphs, find critical nodes, trace cascades1
Geo quizCheck spatial reasoning on where hazards and systems meet1

What you can earn here.

Pathways that teach it.

  1. Role pathwayData and GeoAI specialist3 of its 12 courses are taught here.
  2. Academy flagshipNexus-Based Risk Management flagship pathway0 of its 20 courses are taught here.

Disciplines it depends on.

Terms used on this page.

Around Artificial intelligence and machine learning.

Artificial intelligence and machine learning

Start with an open course.

The catalogue lists each course with its outcomes, labs, hours and level.

Open RAT-204 Back to Department of Artificial Intelligence and Autonomous Systems
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