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AI Act and GDPR: Responsible Use of AI

Cover of the “AI Act and GDPR: Responsible Use of AI” training

The question is no longer whether AI can be used at work. It is with what data, with whose approval and with what record — and that has rules.

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Who This Training Is For

  • Executives, compliance and data protection officers
  • HR and IT leaders
  • Teams already using AI without a defined policy
  • Organizations facing audits or client requirements

What Your Team Will Be Able to Do

  • Understand what the EU AI Act requires, and from when
  • Classify the organization’s AI uses by risk level
  • Know what data may enter an AI tool, and under what conditions
  • Write a short, clear, workable internal policy
  • Prepare the organization to answer an audit or a demanding client

Programme

  1. The framework — AI Act and GDPR without legalese: what changes day to day
  2. Risk levels — how to classify each use and what each level demands
  3. Data — what is personal data, what is trade secret, what must never leave the organization
  4. Vendors and tools — what to ask before approving an AI tool
  5. Internal policy — drafting a workable version together
  6. Evidence — decision records, human validation and what to show in an audit

Learning Objectives

  • Understand, in plain language, what the GDPR and the AI Act require when using AI tools
  • Identify the risk levels of different AI uses, under the AI Act, and what that means in practice
  • Recognise what kinds of data should never be shared with AI tools
  • Build, or revise, an internal policy for responsible AI use
  • Define roles, responsibilities and human validation processes
  • Apply this to the real context and specific use cases of your own company

Format

  • In person or online
  • Adaptable duration: 4h or 8h
  • The organization leaves with a draft of its AI policy
  • Cases adapted to the sector and level of exposure

What Makes It Different

Most AI Act sessions stop at reading the regulation.

This one ends with a document: an internal policy drafted with the team, in language people understand and can follow.


Does your organization already know what data it may put into an AI assistant?

Request a tailored proposal.

Prepare your team to apply AI to real work

Share the context of the organization, the profile of the participants and what the team needs to be able to do better.

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