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Description

Artificial Intelligence Risks: Identifying, Assessing and Governing Use

Naming precisely what can go wrong before opening a use case to an entire department

  • 0.14 days — 1 h
  • In-person or virtual
  • Foundation
  • Up to 6 participants

Use takes hold at individual workstations long before any organisational decision is made. Inaccurate answers are copied straight into letters sent to members of the public, case file information is entered into external tools and no one knows who validates what. The risk is not technical: it lies in the trust placed in an unverified output.

This one-hour session focuses on identification and governance. Participants map the risks for staff and for service users, analyse a situation in which a generated answer misleads a user, and draft usage rules that can be applied within their own department.

Learning objectives

  • Identify the main risks associated with the use of artificial intelligence tools
  • Explain the origin of bias and its effects on a decision
  • Assess the consequences of an inaccurate answer for the service user
  • Detect situations of data leakage and vendor dependency
  • Draft usage rules that can be applied within a department
  • Organise incident reporting and lessons-learned reviews

What makes this programme different

Risks are named one by one rather than treated as a general concern
A situation in which an output misleads the service user is analysed live
Each participant leaves with two usage rules drafted for their own department

Programme

1Mapping the risks

Naming what can go wrong

  • Inaccurate answers presented with confidence
  • Bias in data and its effects on decisions
  • Data leakage and loss of control over information
  • Vendor dependency and the cost of switching

2Effects on staff and on service users

Measuring the impact on service delivery

  • Consequences of a poorly founded administrative decision
  • Explainability of the decision towards the service user
  • Effects on job roles and on staff skills
  • Equal treatment and non-discrimination considerations

3Governing the use of AI

Setting rules that hold in practice

  • Principles of a usage charter that everyone can understand
  • Tasks to be excluded and tasks permitted under supervision
  • Human validation and traceability of decisions
  • Incident reporting and lessons-learned reviews

Who is it for

Public sector managers, staff, digital focal points and data protection officers concerned by the introduction of artificial intelligence.

Prerequisites

No prerequisites

Dates & locations

36 scheduled dates between November 2026 and December 2027. Seats are confirmed in the order enquiries are received.

November 2026

December 2026

January 2027

February 2027

March 2027

April 2027

May 2027

June 2027

September 2027

October 2027

November 2027

December 2027

None of these dates suit you? We open additional sessions on request, and any programme can be run privately for your team.

Practical details

Before the programme
Online positioning questionnaire. Your development objectives are shared with the trainer, who tailors the practical case studies to your context.
Teaching methods
Theoretical input, workshops and practical case studies. Digital course materials and method sheets provided.
Assessment
Multiple-choice tests and role-play exercises. Assessment of learning at the start and end of the programme, with immediate and 60-day follow-up evaluations.
After the programme
One year of access to the e-learning platform. Self-assessment of the skills acquired and a 30-day follow-up session with your trainer.
How to register
Registration online or on the basis of a quotation.
Lead time
11 working days after confirmation of registration.
Accessibility
Accessible to people of determination. Contact our accessibility coordinator to design a suitable solution: contact@mpf-academy.ae
Start dates
Rolling intake: in addition to the scheduled sessions, this programme can start on request.