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04 AI for teams

AI Literacy for teams (EU AI Act)

Give every employee who uses AI tools a working understanding of them, and keep a record of the AI literacy measures you have taken.

Syllabus: AI Literacy for teams (EU AI Act)

The full programme, format and price as a PDF. We send it to your inbox too, so it is easy to forward.

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This course is training, not legal advice. For an AI Act risk classification of your systems, see the consulting page.

Duration
Half day
Delivery
On-site or online, repeatable per department
Group size
Up to 25
Languages
Czech or English
Documentation
Attendance record per participant and a one-page summary of measures
Location
Across Europe (in-house)
Investment
From €1,000 per half day (25,000 CZK)

Who this is for

Article 4 of the EU AI Act (Regulation (EU) 2024/1689) places an obligation to ensure AI literacy on organisations that provide or deploy AI systems: they must take measures on the AI literacy of their staff and of other people who operate or use AI systems on their behalf. The obligation has applied since 2 February 2025. This half day covers what your people need to use AI tools safely in their own work, and leaves you with a record of the measure. It is for every employee who uses AI tools, and for the HR and compliance owners who organise it.

Key takeaways

  • Explain in plain terms what an AI system is, what it does well and what it does not do.
  • Recognise the typical failures: invented facts, biased output and data leaking into a prompt.
  • Apply your organisation's own AI rules to everyday tasks.
  • Write prompts that get useful output and keep confidential and personal data out of the tool.
  • Know when an output has to be checked by a person, and where to escalate it.
  • Use the AI tools your company already has with more confidence.

What we cover

  1. 01

    What AI systems are, and are not

    How language models and other AI tools produce their output, in plain language; what they can do at work and where their limits are.

  2. 02

    Where AI fails

    Hallucination, bias and data leakage, each shown on a concrete example, with the working habit that catches it.

  3. 03

    Your organisation's rules

    Your AI policy or guidance applied to real tasks: which tools are approved, which data may go in, who is responsible. If nothing is written down yet, we work from a short starter set you can adapt.

  4. 04

    Safe prompting and escalation

    Prompts that get useful output without sensitive data; when an answer needs a human check, and who to take it to.

  5. 05

    Practical block (20 minutes)

    Hands-on time in the AI tools your company already uses, on tasks from the participants' own work.

Tools we use

The AI tools your organisation already usesYour internal AI policy or guidanceWorked examples of hallucination, bias and data leakageAttendance record and one-page summary of measures

How it's taught

Short blocks built on your own tools and rules rather than a generic slide deck. The same half day runs once per department, so each group works with examples from its own work and each run produces its own attendance record.

About your lecturer

Jan Černý

Researcher & consultant, Competitive & Technology Intelligence

Jan Černý holds a Ph.D. in applied informatics (Prague University of Economics and Business) and a PhDr. in information science (Charles University). He has spent fifteen-plus years advising strategy, innovation and IP teams on competitive and technology intelligence, technology scouting and applied AI, and researches the same subjects academically, publishing in venues such as The Electronic Library, Review of Managerial Science, the Journal of Information Warfare and Online Information Review.

See research & publications
  • Ph.D., Applied Informatics, Prague University of Economics and Business
  • PhDr., Information Science, Charles University
  • 15+ years advising strategy, innovation and IP teams
  • Peer-reviewed author in CI, OSINT, patent analytics and applied AI
  • Delivered with the National Library and the Czech and Slovak Ministries of the Interior

Frequently asked questions

What does Article 4 of the EU AI Act require?

Article 4 of Regulation (EU) 2024/1689 obliges providers and deployers of AI systems to take measures on the AI literacy of their staff and of other persons operating or using AI systems on their behalf, taking into account their knowledge, experience and the context of use. It has applied since 2 February 2025. The Digital Omnibus on AI (Regulation (EU) 2026/1744), in force since July 2026, amended the wording: the obligation remains, but no specific level of AI literacy is mandated.

Is this mandatory training? Do we need a certificate?

Article 4 sets an obligation to ensure AI literacy, not a prescribed course. The European Commission's AI literacy Q&A states that no certificate is needed and that there is no one-size-fits-all format: what is appropriate depends on your role, the AI systems you use and the people using them, and it is assessed case by case. Organisations can keep an internal record of trainings and other measures.

What record do we get?

An attendance record for each participant and a one-page summary of the measures taken: date, content covered, and the tools and internal rules discussed. Both are formatted so you can file them as evidence of your AI literacy measures. Documented training is the practical way to show what you have done; whether your measures fit your situation remains your own assessment.

Are there fines for not doing it?

Article 4 itself sets no fine. Penalties for infringements follow national law, and national market surveillance authorities have supervised and enforced the rules since 2 August 2026. The Commission's Q&A says any sanction must be proportionate and based on the individual case.

We deploy high-risk AI systems. Is this enough?

No. Deployers of high-risk AI systems have separate obligations under Article 26 of the AI Act, including assigning human oversight to people with the necessary competence and training. This half day builds general AI literacy; training for overseeing a specific high-risk system is a separate piece of work.

Can it run across the whole company?

Yes. The half day is built to repeat: one run per department or team of up to 25, each with examples from that group's work and its own attendance record. Online runs suit distributed teams.

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