The Global Centre for Risk and Innovation (GCRI)
Risk Academy, a Nexortium programmeGovernance, Policy and International AffairsDepartment of Science, Technology and Society
Risk-based regulation, algorithmic decisions, data governance and oversight
AI and digital governance covers how AI and digital systems are overseen and held accountable: risk-based AI regulation, algorithmic decisions in the public sector, data governance and sharing, digital rights and privacy, liability for autonomous agents, procurement and standards, and international cooperation.
risksacademy.comgovernance-policydiscipline
Twin figures for the Horn of Africa and the Nile basin states, counted from its layers at their stated dates.
For AI and digital governance: the faculty's twin of Horn of Africa on the planet map, the globe and in 3D. Pick a generator, switch layers, run the instruments; every layer prints its provider and date.
Drag to turn the globe, Ctrl with the wheel to zoom. Keyboard: arrows turn, + and - zoom, 0 resets, V steps through the views, Escape clears.
Flat map of the same data: the 13 countries on a graticule and the numbers below. The globe opens on devices with WebGL once its library has been checked; the live alerts, events and divisions load in the globe on request, each with its data date.
The map loads from this site as it nears the view (MapLibre 6.9.1, checked by hash).
The discipline teaches algorithmic impact assessment, human oversight design, conformity assessment, data protection and data governance, and procurement and standards reading, under ISO/IEC 42001, the EU AI Act with the high-risk dates the Digital Omnibus on AI set in 2026, the Council of Europe Framework Convention on AI and the GDPR. The faculty's stage is its case in data governance: every dataset admitted through a register row with its licence, and the geoBoundaries gate as a worked example of a rule applied per record in the browser. A graduate can run an algorithmic impact assessment, specify human oversight for an automated decision and read an AI management system against the standard.
This area covers how AI and digital systems are overseen and held accountable: risk-based AI regulation, algorithmic decisions in the public sector, data governance and sharing, digital rights and privacy, liability for autonomous agents, procurement and standards, and international cooperation. It is taught in the department of Science, Technology and Society, Faculty of Governance, Policy and International Affairs, through 1 course with it as primary discipline and 2 more that also teach it.
8 subtopics, taught across its courses and labs.
Not yet taught by a course: AI assurance, audit and conformity assessment.
Recent developments in aI and digital governance, each with its source; sources checked on 16 October 2026. Summaries are short readings of the source; follow the link for the full account.
News and research as they are published, per discipline, with the faculty's other tools.
The newest research, preprints, news and humanitarian reports for AI and digital governance, each with its source and date, load here. Open the research and news hub
From the Academy's risk taxonomy: the discipline's own entries and those of its primary courses, with how many courses teach each.
No course with this primary discipline is open yet; these are planned, so you can prepare with the courses also taught here.
Courses with this primary discipline0 open, 1 in preparation
These courses count in their own primary discipline and also teach this one; they do not count towards its achievement as primary courses.
Also taught here2 courses that count in another discipline
Approved for authoringno enrolment and no achievement until authored and reviewed
Cited as places where the subject is practised; the institutions named are sources here, and Risk Academy hosts every course.
Nexus Foundry system pages describe what each system and its rooms are designed to do; they are not a service on offer, and studying here gives no access to them.
| Lab | What you do in it | Courses using it |
|---|---|---|
| Network lab | Build dependency graphs, find critical nodes, trace cascades | 1 |
Open courses in connected disciplines teach the methods this discipline will build on.