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Description

Responsible AI: Framing, Deciding and Overseeing Usage as a Decision-Maker

Take a clear position on AI usage within your scope without hiding behind technical arguments

  • 0.43 days — 3 h
  • In-person or virtual
  • Intermediate
  • Up to 6 participants

Teams are already using generative assistants and vendor approaches are multiplying. The decision-maker must rule: which uses are authorised, which data may leave the organisation, who answers if a faulty output reaches a client. Without an explicit framework, everyone decides alone and the organisation discovers the problems after the fact.

In three hours online, this session gives executives and management committee members the reference points they need to decide: risk levels by use case, human control points to impose, drafting an acceptable use charter, and the questions to ask before approving a deployment.

Learning objectives

  • Classify AI use cases within your scope according to their level of exposure
  • Identify situations that require human validation before release
  • Set out the usage rules expected from teams in a short charter
  • Ask the right control questions of a vendor or a project team
  • Allocate responsibilities between the business, IT and compliance

What makes this programme different

Decisions are worked through on the use cases actually present in participants' organisations
An acceptable use charter template is completed during the session
A list of questions to put to vendors is built collectively

Programme

1Understanding What Is at Stake in an AI Decision

What the decision-maker commits the organisation to

  • Types of use cases encountered and expected effects on business functions
  • Output errors, bias and vendor dependency
  • Data entrusted to the model and consequences for clients
  • Chain of responsibility between the business and the service provider

2Deciding Use Case by Use Case

Scaling control to the level of exposure

  • Assessment grid based on the criticality of the assisted decision
  • Uses to leave open, to frame or to prohibit
  • Human control points and records to retain
  • Conditions to be met before any move into production

3Setting the Framework and Keeping It Alive

Turning decisions into readable rules

  • A short acceptable use charter that teams can understand
  • Escalation route for new use cases
  • Control questions to put to vendors and project teams
  • Review cycle for the decisions taken

Who is it for

Executives, management committee members, function heads and entity managers called upon to authorise or refuse AI use cases.

Prerequisites

No prerequisites

Dates & locations

12 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.