Nucleus | Regulation Watch
From 2 August 2026, transparency obligations under Article 50 of the EU Artificial Intelligence Act apply to certain providers and deployers of AI systems.
For businesses operating in Europe, this moves AI transparency from a future compliance consideration to a current operational requirement.
The immediate challenge for leadership teams is not simply understanding the regulation. It is knowing where AI is already being used across the organisation, which requirements apply and who is responsible for ensuring compliance.
What has changed?
The new transparency requirements apply to specified interactive, generative and content-manipulation AI systems.
Depending on the technology and how it is being used, organisations may need to:
- Tell individuals when they are interacting with an AI system, unless this is already obvious from the circumstances.
- Mark certain AI-generated or manipulated text, audio, images and video in a machine-readable format so that the content can be detected as artificially generated or manipulated.
- Inform individuals exposed to emotion-recognition or biometric-categorisation systems.
- Clearly disclose deepfake content that has been artificially generated or manipulated.
- Disclose certain AI-generated or manipulated text published to inform the public on matters of public interest, subject to relevant exceptions, including where human review or editorial control applies and editorial responsibility is accepted.
Required disclosures must be clear, distinguishable and accessible and provided no later than an individual’s first interaction with or exposure to the relevant AI system or content.
The European Commission has also issued implementation guidance and a voluntary Code of Practice to support organisations with marking, labelling and demonstrating compliance.
Why this matters beyond the technology team
AI is increasingly embedded across ordinary business functions.
An organisation may use AI within recruitment platforms, HR systems, customer service, marketing, communications or internal operational tools.
That means AI transparency cannot be treated solely as an IT issue.
For leadership teams, the more fundamental question is:
Do we actually know where AI is being used across our organisation?
Without that visibility, it becomes difficult to determine which regulatory requirements apply, whether the necessary disclosures are in place and who is responsible for maintaining compliance.
What CEOs need to consider
For CEOs, this is fundamentally a question of governance and accountability.
Leadership should understand whether the organisation has sufficient visibility over the adoption and use of AI across different functions.
Key questions include:
- Who ultimately owns AI governance?
- Can the organisation identify its material AI use cases?
- Are responsibilities divided clearly between Technology, Legal, HR, Operations and other functions?
- Is there an escalation process when higher-risk or regulated uses of AI are introduced?
The objective is not for the CEO to manage individual AI systems. It is to ensure that the organisation has an effective structure for doing so.
What COOs need to consider
For COOs, the focus should be on how AI is embedded into operational processes.
AI may already form part of customer interactions, workflow automation, communications or third-party platforms.
Operations teams should understand where AI sits within the business process and whether regulatory requirements have been incorporated into that process.
A disclosure requirement identified by Legal has limited value if it is not implemented at the point where the customer or employee actually encounters the technology.
What CHROs need to consider
For CHROs and HR teams, the priority is understanding where AI intersects with the employee lifecycle.
This may include recruitment, candidate screening, HR platforms, employee support tools, analytics and other people-management processes.
HR leaders should consider:
- Which HR technologies incorporate AI?
- Are employees or candidates interacting directly with AI systems?
- Are emotion-recognition or biometric-categorisation technologies being used?
- Have third-party HR platforms been included in the organisation’s AI inventory?
- Who is responsible for assessing new AI-enabled HR technology before deployment?
This makes coordination between HR, Legal, Technology and procurement particularly important.
What Legal and Compliance need to consider
Legal and compliance teams should determine which AI systems and use cases fall within the transparency requirements and what obligations arise from each one.
This includes considering whether required disclosures are sufficiently clear and accessible, whether they appear at the appropriate point in the interaction and whether the organisation can demonstrate its compliance position.
Legal teams should also consider the wider regulatory environment surrounding an AI system rather than treating Article 50 in isolation.
Five questions leadership teams should ask now
A practical starting point is to ask:
1. Where are we currently using AI?
Build an organisation-wide picture rather than limiting the exercise to technology owned centrally by IT.
2. Which AI systems interact directly with individuals?
Consider customers, candidates, employees and other external users.
3. Where are we generating or manipulating content using AI?
Review text, imagery, audio and video across marketing, communications and other functions.
4. Which transparency requirements apply to each use case?
Different technologies and uses may trigger different obligations.
5. Who owns ongoing compliance?
Assign clear responsibility for implementation, monitoring and escalation as AI use evolves.
The Nucleus View
The significance of the new transparency rules goes beyond adding an AI disclosure to a chatbot or labelling certain content.
They reinforce a broader governance challenge for international businesses: AI increasingly crosses traditional organisational boundaries.
A single technology can involve Legal, HR, Operations, Technology, Marketing, procurement and senior leadership.
For organisations operating internationally, that complexity increases further as different jurisdictions introduce their own requirements.
The first priority should therefore be visibility.
Map where AI is being used. Understand the applicable requirements. Establish ownership. Then ensure that regulatory obligations are translated into the actual processes through which employees, customers and other individuals encounter AI.
Because an organisation cannot effectively govern technology it has not identified.
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