AI for Public Sector & Government
A ~36-minute playbook for agency heads, government CIOs, Chief AI Officers. Citizens are not customers. 5 plays, 3 fail patterns, OMB M-24-10 + EU AI Act + UK ATRS + India DPDPA frame.
8
Chapters
~36 min
Duration
Advanced
Level
No
Certification
Who this is for
For agency heads, government CIOs, Chief AI Officers in public-sector roles, and the leaders running citizen-facing service modernisation.
How this course works
- 8 audio-narrated slide chapters · ~36 min of focused content
- Capstone with interactive Markdown builder you take to your team
- Trust trip-wires on every play — what not to cross
- Free verifiable certificate on completion
What you'll walk out with
Specific outcomes from this course — no fluff.
- In government, AI must serve the public and be accountable to it — citizens cannot easily switch suppliers
- 5 public-sector plays — service delivery · case work augmentation · fraud detection · intelligent search · translation + accessibility
- 3 fail patterns — algorithmic decisions affecting rights without human review, chatbot misrepresentation, opaque high-stakes AI
- Hold the case-worker decision boundary — AI prepares, humans decide on rights
- Apply bias-audit discipline to fraud detection across protected categories before deployment
- Verify AI-cited sources before acting (Mata cross-domain) and enforce access controls in AI search
- Maintain a public AI inventory with impact assessments and named accountable officials — OMB M-24-10 + EU AI Act + UK ATRS
- 18-month roadmap with 4 trust trip-wires that protect due process and citizen trust
Course content
8 chapters · ~36 min
Welcome
A 1-minute orientation — what the course covers, how to navigate, and what you walk out with. No audio on this screen.
The public-sector landscape
Citizens are not customers · 5 plays · 3 fail patterns · regulatory frame (OMB M-24-10 + EU AI Act Annex III + UK ATRS + India DPDPA).
Service delivery automation
3 use cases · the disclosure discipline · the escalation path (non-negotiable).
Case work augmentation
3 use cases · the decision boundary (AI prepares, humans decide on rights) · transparency to citizens.
Fraud detection
2 use cases · the bias risk · human investigator required · 3 honest-scoring questions.
Intelligent search + records
3 search use cases · source verification (Mata cross-domain) · access controls.
Translation + accessibility
3 use cases · low-stakes vs high-stakes · community review for accessibility AI.
Governance posture
4 governance components · public inventory discipline · 4 procurement terms (explainability · bias · data · exit).
Making it stick: your public-sector AI roadmap
18-month rollout · 4 trust trip-wires · interactive Markdown builder for your agency head.
Want this delivered inside your organisation?
The course is the starting point. The same content powers a 4-week pilot, an org-wide rollout, or a continuous build engagement — set up on your data, with your team, by Gennoor Tech.