L'IA pour le Secteur Public et les Dirigeants Gouvernementaux

Ce qu'elle couvre

Ce programme renforce la culture IA et la capacité stratégique des dirigeants du secteur public et des équipes informatiques gouvernementales. Les participants explorent comment l'IA transforme les services aux citoyens, la détection des fraudes, les marchés publics et l'analyse des politiques, tout en respectant les obligations juridiques, éthiques et de transparence propres à l'administration publique. Le format combine des ateliers basés sur des études de cas, des cadres réglementaires et des exercices de mise en situation. Les participants repartent avec une approche structurée pour évaluer, piloter et gouverner les projets d'IA au sein de leur organisation.

À l'issue, vous saurez

• Identify and prioritise AI use cases in your agency that meet public value and feasibility criteria
• Apply the EU AI Act high-risk classification framework to assess compliance obligations for a proposed AI system
• Design a human-in-the-loop oversight process for an algorithmic decision-making system in a public context
• Evaluate vendor AI proposals for procurement using a structured bias, transparency, and accountability checklist
• Build a phased AI pilot roadmap that addresses data governance, legal constraints, and stakeholder communication

Sujets abordés

• AI use cases in citizen services and digital public administration
• Fraud detection in benefits, tax, and social welfare systems
• AI in public procurement: risk, bias, and vendor evaluation
• Algorithmic transparency and explainability requirements
• EU AI Act obligations for public authorities and high-risk systems
• Ethical frameworks and human-in-the-loop decision governance
• Data governance and interoperability across government agencies
• Building an AI adoption roadmap within constrained public budgets

Modalité

Typically delivered as a blended programme over 4–6 weeks: two in-person or live-virtual workshop days bookending self-paced online modules. Heavily case-based, drawing on real European public sector AI deployments (e.g. AIVD, HMRC, French tax authority). Hands-on ratio is approximately 60% applied exercises and 40% framework instruction. Materials include policy templates, risk assessment checklists, and a procurement evaluation toolkit. Can be tailored for specific government verticals (health, tax, justice, local authorities).

Ce qui fait que ça marche

• Appointing a cross-functional AI governance board with legal, IT, policy, and operational representatives from the start
• Running small, time-boxed pilots with measurable citizen outcome metrics before scaling any algorithmic decision system
• Embedding algorithmic impact assessments as a mandatory step in the project approval workflow alongside data protection impact assessments
• Providing ongoing training and clear escalation paths for frontline staff who interact with AI-assisted decision tools

Erreurs fréquentes

• Adopting commercial AI tools without assessing whether automated decisions meet public law transparency and appeal requirements
• Treating the EU AI Act as an IT compliance task rather than an organisational governance challenge requiring executive ownership
• Underestimating data quality and interoperability barriers across legacy government systems before launching AI pilots
• Failing to engage frontline civil servants in AI design, leading to low adoption and unintended bias in citizen-facing outcomes

Fournisseurs à considérer

• Wavestonewww.wavestone.com →
• Oxford Said Business School Executive Educationwww.sbs.ox.ac.uk/programmes/executive-education →
• DataScientestdatascientest.com →
• Capgemini Invent Academywww.capgemini.com/service/invent/ →

Sources

• EU AI Act — High-Risk AI Systems and Public Authority Obligations →
• OECD AI Policy Observatory — AI in the Public Sector →