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Guide

The AI Act for directors: responsibility, liability and oversight

Adopted 2026-06-22 ยท ≈ 2 min read ยท Dirk Baaijen

The AI Act makes the board ultimately responsible for responsible AI use. Fines reach 35 million euro or 7% of global turnover. This guide explains what the board must steer on, how to organise oversight, and where personal risk lies.

Short answer: The AI Act is not an IT file but a board responsibility. The board sets the risk appetite, organises oversight and is accountable when things go wrong. The heaviest fines reach 35 million euro or 7% of annual global turnover โ€” a figure only the board level can bear. You may delegate compliance work; you cannot delegate ultimate responsibility.

Why this belongs on the board table

The AI Act places obligations on the organisation, not on a department. Whoever procures, builds or deploys AI must demonstrate that this is done responsibly: risk classification, documentation, human oversight and, in some cases, registration. A board that fails to ensure this carries an unmanaged risk on the balance sheet.

On top of that, AI touches strategy: efficiency, product innovation, reputation and legal risk converge. That makes it pre-eminently a matter for the executive board and the supervisory board.

Three kinds of responsibility

  • Regulatory. The organisation can be fined by the supervisor. The penalty regime is tiered: prohibited AI practices form the heaviest category.
  • Civil. Alongside the AI Act, the revised Product Liability Directive determines who compensates for harm when AI goes wrong โ€” see AI liability.
  • Governance. Mismanagement can result in personal liability where the board structurally ignores a known risk.

What the board must ensure

A board need not understand the technology, but must be able to show it is in control. That requires a governance framework with clear roles, an up-to-date overview of deployed AI systems and their risk class, and an escalation line to the executive board.

Start with an inventory: which AI do we use, in which role (provider or deployer), and what risk class applies? See the high-risk obligations overview for what a high-risk classification means.

Organising oversight

Effective oversight is rhythm, not a one-off check. Have the executive board report periodically on the AI portfolio, incidents and open compliance points. Assign ownership explicitly โ€” often to an AI officer or a steering group โ€” and ensure the board has enough AI literacy to ask the right questions.

What to do

  • Assign ownership at board level and set the reporting line.
  • Build an AI inventory with role and risk class per system.
  • Implement a governance framework with policy, review and escalation.
  • Ensure AI literacy among directors and key staff.
  • Coordinate with the DPO, CISO and procurement โ€” see the AI Act for DPOs and for procurement.
  • Review insurance and contracts for coverage of AI risks.

The AI Act does not require a director who knows everything, but a director who demonstrably steers. That distinction will decide whether a supervisor or court speaks of diligent or negligent governance.

Sources

  1. https://eur-lex.europa.eu/eli/reg/2024/1689/oj
    Regulation (EU) 2024/1689 (AI Act): risk-based obligations, the penalty regime and human oversight requirements.
  2. https://eur-lex.europa.eu/eli/dir/2024/2853/oj
    Directive (EU) 2024/2853 (revised Product Liability Directive): the civil-law route for harm caused by AI.

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Dirk Baaijen

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Compiled and maintained by YRproject โ€” programme and project direction at the intersection of digital transformation, AI and regulation. Every factual claim is traceable to its primary source. YRproject is led by Dirk Baaijen About & method โ†’

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