Les Essentiels du RGPD pour les Petites Entreprises de Services Utilisant l'IA

Ce qu'elle couvre

Un atelier d'une journée conçu pour les petites cliniques, agences, cabinets comptables et études juridiques qui utilisent des outils d'IA dans leur activité quotidienne. Les participants apprennent à identifier la base légale appropriée pour les traitements assistés par IA, à négocier des DPA avec leurs fournisseurs d'IA et à gérer les chaînes de sous-traitants. La session couvre également la minimisation des données, la gestion des demandes d'accès impliquant des sorties d'IA, et les bases de la détection et de la notification des violations. Environ 40 % du temps est consacré à des exercices pratiques sur des modèles de contrats et des mises en situation.

À l'issue, vous saurez

• Identify the correct lawful basis for each AI-assisted personal data processing activity in your business
• Review an AI vendor's DPA and flag missing or inadequate sub-processor clauses
• Apply data minimisation principles to at least two existing AI workflows in your organisation
• Draft a compliant response to a Subject Access Request that involves AI-generated content
• Execute the first steps of a personal data breach response, including assessing notification obligations within 72 hours

Sujets abordés

• Lawful basis for AI-assisted personal data processing (consent, legitimate interest, contract)
• Reviewing and negotiating Data Processing Agreements with AI vendors
• Mapping sub-processor chains for common AI tools (e.g. ChatGPT, Copilot, Jasper)
• Data minimisation and purpose limitation in AI workflows
• Handling Subject Access Requests that involve AI-generated outputs
• Breach detection basics and 72-hour CNIL/DPA notification process
• Practical checklist for onboarding a new AI tool compliantly
• Record of Processing Activities (ROPA) entries for AI use cases

Modalité

Delivered in-person or via live virtual session (Zoom/Teams). Participants receive a compliance toolkit including a DPA review checklist, a ROPA template pre-filled for common AI tools, and a breach response flowchart. Hands-on ratio is approximately 40% exercises, 60% facilitated instruction. Group size capped at 16 to ensure individual Q&A time. Remote delivery adds a 30-minute async pre-read module sent 48 hours in advance.

Ce qui fait que ça marche

• Designating a single named person (even part-time) responsible for AI compliance decisions before the workshop
• Completing the DPA review exercise using the firm's actual AI vendor contracts rather than generic examples
• Updating the ROPA within two weeks of the workshop while knowledge is fresh
• Scheduling a 90-day follow-up check-in to review any new AI tools onboarded since training

Erreurs fréquentes

• Assuming that accepting an AI vendor's standard Terms of Service is a sufficient Data Processing Agreement
• Failing to map sub-processors — many popular AI tools route data through multiple third-party infrastructure providers
• Treating AI-generated outputs as outside the scope of Subject Access Requests when they contain or are derived from personal data
• Underestimating breach notification timelines by conflating internal investigation time with the 72-hour regulatory clock

Fournisseurs à considérer

• CNIL (Commission Nationale de l'Informatique et des Libertés) — guidance & self-assessment toolswww.cnil.fr/fr/intelligence-artificielle →
• Privaseewww.privasee.io →
• DPO Consultancy (Bird & Bird LLP)www.twobirds.com/en/capabilities/practices/privacy-and-data-protection →
• OpenClassrooms — RGPD et protection des donnéesopenclassrooms.com/fr/courses/6267821-appliquez-le-rgpd-a-votre-business →

Sources

• CNIL — Intelligence artificielle et RGPD →
• ICO — Guidance on AI and data protection →