Course : AI in the Public Sector: Legal Framework, Guidelines, Case Studies, and Best Practices

Practical course - 1d - 7h00 - Ref. IHO
Price : 450 € E.T.

AI in the Public Sector: Legal Framework, Guidelines, Case Studies, and Best Practices



New course

The purpose of this training is to enable public servants to understand, manage, and use generative AI as a tool to assist them in their work, while complying with the regulatory framework, GDPR requirements, and professional best practices—in particular, by writing effective prompts.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Disponible en anglais, à la demande

Ref. IHO
  1d - 7h00
450 € E.T.




The purpose of this training is to enable public servants to understand, manage, and use generative AI as a tool to assist them in their work, while complying with the regulatory framework, GDPR requirements, and professional best practices—in particular, by writing effective prompts.


Teaching objectives
At the end of the training, the participant will be able to:
Explain what AI and generative AI are, along with their limitations
Placing the use of AI within the framework of the European AI Regulation (AI Act) and the GDPR
Identify permitted, sensitive, or prohibited uses
Write structured prompts tailored to a professional context
Critically analyze the responses generated by AI
AI and Environmental Impact

Intended audience
Civil servants.

Prerequisites
None

Practical details
Teaching methods
A combination of lectures and hands-on exercises.

Course schedule

1
Issues, Applications, and Understanding of AI in the Public Sector

  • AI and Public Policy: Why This Topic Now?
  • Compilation of Staff Comments and Questions
  • Key Historical Milestones (Turing, Deep Learning, ChatGPT)
  • What AI Is: What It Does, What It Doesn't Do
  • Generative AI vs. “Traditional” AI
  • Strengths and Limitations: Biases, Hallucinations, Lack of True Understanding
Hands-on work
Discussion on the use of AI in personal or professional contexts

2
Legal and Regulatory Framework (GDPR and AI Act)

  • Key Reminders About the GDPR: Personal Data, Citizens' Rights, and Local Governments' Obligations
  • Real-world examples: grants, video surveillance, newsletters
  • Practical Implications for the Use of AI: Prohibited Data, Agent Responsibilities
  • Purpose and Philosophy of the RIA (AI Act)
  • The 4 Risk Levels
  • Focus on Generative AI in the Public Sector
Hands-on work
Using AI to Define the GDPR and Illustrate It with Real-World Examples

3
Best Practices for Methodology: The Prompt and Best Practices

  • Definition of the prompt
  • Impact of Prompt Quality on Responses
  • Structural Writing Methods
  • Self-Improvement and Iteration with AI
Hands-on work
Automatic Correction and Optimization of Results

4
Governance, Security, and the Impacts of AI

  • Institutional Stakeholders: CNIL, ANSSI, European authorities
  • Key Recommendations from the CNIL and ANSSI
  • Possible Penalties and Liabilities
  • Environmental Impact of AI: Measures and Studies (ADEME)
  • REEN Act, CESE Report, AFNOR Standards
  • The Relationship Between Environmental Impact and the Regulatory Framework
Hands-on work
Identify CNIL and ANSSI recommendations using AI. Analyze the REEN Act and its impact on the civil service in relation to the RIA.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.

Dates and locations
Select your location or opt for the remote class then choose your date.
Remote class

Dernières places
Date garantie en présentiel ou à distance
Session garantie

REMOTE CLASS
2026 : 4 Dec.

2027 : 2 Apr., 30 Apr., 28 May, 2 July, 1 Sep., 29 Oct., 26 Nov., 17 Dec.

PARIS LA DÉFENSE
2027 : 2 Apr., 30 Apr., 28 May, 2 July, 1 Sep., 29 Oct., 26 Nov., 17 Dec.

LILLE
2027 : 2 Apr., 30 Apr., 1 Sep., 26 Nov.

BRUXELLES
2027 : 2 Apr., 28 May, 1 Sep., 17 Dec.

LUXEMBOURG
2027 : 2 Apr., 30 Apr., 2 July, 26 Nov.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.