Does a chatbot notice replace high-risk instructions?
No. covers specified notices and marking. A high-risk system also needs Article 13 deployer instructions and Article 26 operating controls.
Tell people when they interact with AI, encounter specified biometric uses or see content covered by .
Providers handle interaction notices and synthetic-output marking. Deployers handle notices and disclosures for their own covered uses.
assigns different duties to the company providing a system and the organisation using it. Check the function, audience and exception before choosing a notice or label. These duties can apply alongside high-risk AI requirements.
Providers of systems intended to interact directly with people must ensure people know they are interacting with AI, unless an exception applies. Providers of systems generating synthetic content must also handle machine-readable marking and detection.
Deployers have separate duties for emotion and biometric systems, deepfakes and specified AI text published to inform the public. Provide clear, distinguishable and accessible information by the first interaction or exposure.
has applied since 2 August 2026. Only Article 50(2) marking and detection for systems placed on the market before that date has a transition to 2 December 2026.
Sources (2)
Article 50 is the legal source for provider interaction notices, synthetic-content marking, deployer notices, deepfake disclosure, public-interest text disclosure, timing, accessibility, and exceptions.
Commission overview describing transparency risk, chatbot awareness, identifiable AI-generated content, deepfake labeling, and the AI Act risk-based framework.
For a chatbot, voice assistant, agent or support flow, show the notice by the first interaction. Check any claimed obviousness or law-enforcement exception against (1).
To rely on obviousness, record what the relevant user would understand from the interface and context. Consider the actual user group.
The law-enforcement exception requires legal authorisation to detect, prevent, investigate or prosecute crime and appropriate safeguards for third-party rights. It does not apply to systems available to the public for reporting a criminal offence.
Operational example: "You are chatting with an AI assistant" at the chat entry point. Save the deployed wording, placement, language and accessibility checks to show that users received it in time.
Sources (2)
Article 50(1) supports the direct-interaction notice rule and Article 50(5) supports timing, clarity, distinguishability, and accessibility expectations.
Commission overview gives chatbot interaction as an example of transparency risk where people should know they are interacting with a machine.
Providers must ensure synthetic audio, image, video and text outputs are machine-readable and detectable as AI-generated or manipulated. Technical solutions must be effective, work across systems, remain reliable and resist failure as far as technically feasible, accounting for content type, costs and the state of the art.
(2) exempts standard assistive editing or changes that do not substantially alter input data or meaning. It also exempts legally authorised use for detecting, preventing, investigating or prosecuting crimes. Save the function, legal basis and output comparisons for any exception.
Deployers must disclose images, audio and video. For evidently artistic, creative, satirical, fictional or similar works, disclose the existence of AI generation or manipulation in an appropriate way that preserves the display or enjoyment of the work.
Deployers must also disclose AI-generated or manipulated text published to inform the public on matters of public interest. Check the law-enforcement exception or the exception for human review/editorial control with a person holding editorial responsibility.
The Commission's optional EU icons are free to use in SVG or PNG without attribution. Choose the appropriate icon after checking the legal trigger and exception. An icon alone does not establish compliance or Code membership.
Sources (5)
Article 50(2) supports provider machine-readable synthetic-content marking; Article 50(4) supports deployer disclosure duties for deepfakes and certain public-interest text.
Commission page records the final June 2026 voluntary code, provider marking and deployer labelling commitments, sign-up route, and EU icons.
Records the Commission's 8 July 2026 adequacy conclusion, the AI Board's following-day assessment, and the warning that adherence is not conclusive evidence of compliance.
Final non-binding Commission guidance published on 20 July 2026 supports the scope, actor, exception, timing, and implementation distinctions used in this section.
Explains icon selection, SVG and PNG downloads, free use without attribution, optional status, Article 50(4) scope and exceptions, accessibility, and the Code's placement commitments.
Deployers must inform people exposed to an or . Check that the use is lawful before deployment; a notice does not authorise a prohibited use.
Personal data remains subject to the applicable EU data-protection rules. Check the lawful basis, data categories, safeguards and documentation alongside the notice.
Sources (2)
Article 50(3) supports deployer notice duties for exposed natural persons and the link to applicable EU personal-data rules.
Commission overview identifies emotion recognition and biometric categorisation in the AI Act risk framework, including prohibited and high-risk examples.
A high-risk system can need notices and Article 13 instructions for deployers. Article 50(6) preserves the high-risk obligations.
Article 13 instructions must be concise, complete, correct, clear, relevant, accessible and understandable. They help deployers interpret outputs and use the system appropriately.
Article 26 requires deployers to follow instructions, assign competent oversight, monitor operation and retain logs under their control. Keep evidence of how the instructions translate into operating procedures.
Sources (1)
Articles 13, 25, 26, and 50 support the distinction between user-facing transparency duties, deployer instructions for high-risk AI, operating duties, and role changes along the AI value chain.
Before release or publication, confirm who must receive which notice, when they receive it and how you can prove delivery.
The final voluntary Transparency Code was published on 10 June 2026. The Commission found it adequate for Articles 50(2), (4) and (5) on 8 July; the AI Board adopted its assessment on 9 July. Adherence does not conclusively establish compliance.
The Commission published final non-binding guidelines on 20 July 2026. Use them to interpret the duties while keeping the Regulation as the controlling law. Article 50(6) also preserves other EU and national transparency duties.
No. covers specified notices and marking. A high-risk system also needs Article 13 deployer instructions and Article 26 operating controls.
The deployer using the system to generate or manipulate the content must disclose that it is artificial, subject to the specific exceptions and special treatment for creative and similar works.
Keep the design, machine-readable format, detectability tests, content-type limits, reliability and interoperability assessment, release approval and any exception analysis.
Inform them that the emotion recognition or is operating by the time of exposure, unless the (3) exception applies. Meet separate personal-data duties too.
No. Only (2) marking and detection for systems placed on the market before 2 August 2026 has a transition to 2 December 2026. The other Article 50 duties apply from 2 August 2026.
Sources (3)
Articles 13, 25, 26, and 50 support the checklist fields for triggers, actor allocation, timing, high-risk instructions, deployer operation, exceptions, and evidence.
Commission page supports the final voluntary code's provider and deployer measures, sign-up context, EU icons, and adequacy-assessment status.
Commission companion questions and answers on Article 50; the legal duties stated here are grounded in Articles 3 and 50 and the 2026 amendment.
Sorena can help check your disclosure duties, exception analysis and release evidence.
Clear answers on AI Act scope, risk categories, provider and user duties, general-purpose models, disclosures, rights, assessments and deadlines.
Find the AI Act deadline for your system or model. Check high-risk dates, transparency duties, older-model transitions and the evidence to prepare.
Check who needs an Article 27 fundamental rights impact assessment, what it must contain and how DPIA reuse, notification and registration work.
Collect model documentation, integration information, copyright records and training summaries. Add testing, incident and security records for systemic risk.
Set up high-risk AI monitoring, identify serious incidents and check reporting deadlines, recipients, deployer escalation and corrective action.
Check the AI Act fine tiers, smaller-organisation caps, GPAI provider fines and the facts authorities consider when deciding a penalty.
Check serious-incident harm, preserve evidence and choose the reporting deadline and recipient for high-risk AI systems and systemic-risk GPAI models.
See which AI Act rules apply now and what comes next. Check high-risk dates, older-model transitions and the difference between legal and standards dates.
Compare AI Act legal duties with ISO/IEC 42001 management-system requirements. See which records can be reused and what certification does and does not cover.
Compare AI Act legal duties with the voluntary NIST AI RMF. Map risk records to specific requirements and identify legal steps that need separate evidence.
Use five checks to establish AI Act scope, exclusions, your role, risk categories and evidence for the decision.
Choose between provider-run internal control, notified-body assessment and a product-law procedure before release.
Classify an AI tool or model before purchase or release. Check EU scope, prohibited uses, high-risk rules, transparency and GPAI duties.
Check each AI tool, decide which duties apply, and give every action an owner and evidence link.
Some high-risk systems use a provider-run assessment. Others need an authorised independent assessor or a product-law assessment.
Check whether the AI Act applies to your system or model, identify your provider or deployer role, and keep evidence for the decision.
Check GPAI provider duties for documentation, integrator information, copyright and training summaries, plus extra requirements for systemic-risk models.
High-risk providers must meet system requirements before supply. Deployers must use and monitor the system under the provider's instructions.
Check the system's risk controls, data, documentation, logs, instructions, human oversight and testing before release.
Find high-risk AI examples in recruitment, banking, education, healthcare, public services and products. Check Article 6 conditions and exceptions.
Build a compliance plan for each AI tool: your role, the duties that apply, the evidence needed and the person responsible.
Use EN 18286:2026 to organise provider quality-management procedures and keep evidence that they work for each high-risk system.
Build the technical file and provider records for a high-risk AI system, with owners and evidence links for each field.
Check Article 5 prohibited AI practices, the narrow exceptions, evidence to retain and the new content prohibitions from 2 December 2026.
Check provider, deployer, importer and distributor roles, when changes create provider duties, and how model and system responsibilities differ.
Find the assessment route for high-risk AI, when a notified body is required, and which declaration, CE-marking and registration records you need.
Check whether software counts as AI, how models differ from systems, when embedded AI is high-risk, and which scope and role evidence to keep.
Understand high-risk AI monitoring under Article 72: the provider plan, deployer feedback, logs, corrective action, incidents and change reviews.
See which industry AI uses fall under Annex III, when Article 6(3) can apply, and what providers must document and register.
See what Article 11 and Annex IV require in high-risk AI technical documentation, from system identity and testing to monitoring and retention.
Check general-purpose model duties, systemic-risk classification, open-source conditions, copyright, training summaries, incidents and application dates.
Check AI interaction notices, technical content marking, biometric notices, deepfake and text disclosures, exceptions, accessibility and deadlines.
Check serious-incident outcomes, reporting roles, 15-, 10- and two-day deadlines, authority recipients, corrective action and the separate model route.
Check who needs an Article 27 fundamental rights impact assessment, what it must cover, and how privacy assessments, notification and registration fit.