Mga Obligasyon sa Transparency ng EU AI Act: Artikulo 13 at Artikulo 50
Hinahati ng EU AI Act ang transparency sa dalawang rehimen. Ang Artikulo 13 ay namamahala sa relasyon sa pagitan ng mga provider at mga nagpapatupad ng high-risk na AI. Ang Artikulo 50 ay namamahala sa relasyon sa pagitan ng mga sistema ng AI at ang mga taong nakikipag-ugnayan dito — na sumasaklaw sa mga chatbot, deepfake, at nilalamang nabuo ng AI.
Mga Obligasyon sa Transparency ng EU AI Act: Artikulo 13 at Artikulo 50
Hinahati ng EU AI Act ang transparency sa dalawang rehimen. Ang Artikulo 13 ay namamahala sa relasyon sa pagitan ng mga provider at mga nagpapatupad ng high-risk na AI. Ang Artikulo 50 ay namamahala sa relasyon sa pagitan ng mga sistema ng AI at ang mga taong nakikipag-ugnayan dito — na sumasaklaw sa mga chatbot, deepfake, at nilalamang nabuo ng AI.
Huling in-update: Hulyo 4, 2026
Artikulo 13: Transparency sa mga Nagpapatupad
Dapat magbigay ang mga provider ng high-risk na AI sa mga nagpapatupad ng sapat na impormasyon upang gamitin nang tama ang sistema at magsagawa ng makabuluhang pangangasiwa.
- Pagkakakilanlan ng provider at mga detalye ng pagkontak
- Inaasahang layunin, katumpakan, katatagan, at mga katangian ng cybersecurity
- Mga kilalang limitasyon at mga kilalang posibleng maling paggamit
- Pagganap kaugnay ng mga partikular na tao o grupo
- Mga kinakailangan sa input data at inaasahang interpretasyon ng output
- Mga panukala sa pangangasiwa ng tao at kung paano ito isasagawa
- Mga inaasahan sa pagpapanatili at lifecycle
Artikulo 50: Transparency sa mga Gumagamit at sa Publiko
Ang Artikulo 50 ay mas malawak na naaangkop kaysa sa mga high-risk na sistema lamang. Apat na pangunahing tungkulin:
- Pagbubunyag ng interaksyon ng AI — dapat ipaalam sa mga natural na tao na nakikipag-ugnayan sila sa isang sistema ng AI (hal., mga chatbot), maliban kung ito ay halata mula sa konteksto
- Pagmamarka ng nilalamang sintetiko — ang nilalamang audio, imahe, video, o teksto na nabuo ng AI ay dapat na mabasa ng makina at matukoy bilang artipisyal
- Pagbubunyag ng deepfake — ang nilalamang naglalarawan ng mga tunay na tao o kaganapan ay dapat ibunyag bilang artipisyal na nabuo, na may limitadong mga eksepsyon para sa malinaw na artistiko, satirikong, o kathang-isip na mga gawa
- Nilalamang pampublikong interes — ang nilalamang teksto na nabuo ng AI na inilathala upang ipaalam sa publiko tungkol sa mga bagay na may pampublikong interes ay dapat ibunyag maliban kung mayroong pagsusuri at responsibilidad sa pag-edit ng tao
Paano Nag-uugnayan ang mga Artikulo 13 at 50
Ang dalawang rehimen ng transparency ay gumagana sa iba't ibang antas ng value chain:
Ang Artikulo 13 ay isang obligasyon ng B2B sa pagitan ng mga provider at mga nagpapatupad. Ang Artikulo 50 ay nakatuon sa mga gumagamit. Ang isang provider ng high-risk na chatbot ay may obligasyon sa dokumentasyon ng Artikulo 13 sa mga enterprise na nagpapatupad nito AT pagbubunyag ng Artikulo 50 sa mga natural na tao na nakikipag-usap sa chatbot.
Article 50 Exceptions and Implementation Checklist
Article 50 disclosure duties come with narrow exceptions, and Article 13 documentation has concrete build requirements. Work through both:
- Interaction disclosure exception — you can skip the "you are talking to an AI" notice only where it is obvious to a reasonably well-informed person from the context of use; when in doubt, disclose
- Deepfake artistic exception — for evidently artistic, creative, satirical, or fictional work, the disclosure can be limited to a form that does not hamper the display or enjoyment of the work, rather than omitted entirely
- Law-enforcement exception — detection, prevention, investigation, and prosecution of criminal offences may be exempt from certain synthetic-content and interaction duties where authorised by law
- Machine-readable marking — synthetic-content marking must be effective, interoperable, robust, and reliable as far as technically feasible; plan for a durable technique such as watermarks, metadata, or cryptographic provenance signals
- Article 13 instructions for use — package provider identity, intended purpose, accuracy and robustness metrics, known limitations, and human-oversight measures into deployer-facing documentation you can version and update
- Timing — Article 50 transparency duties apply from 2 August 2026; build the disclosure and marking mechanisms into your product now rather than retrofitting them
This checklist is an editorial summary, not legal advice; confirm the exact conditions of each exception against the regulation text and any AI Office guidance before relying on it.
How AIAgentree helps
AIAgentree gives you the disclosure records and deployer-facing evidence that Articles 13 and 50 expect, without changing how your agents run.
- Tamper-evident decision records capture when an AI interaction, synthetic-content, or deepfake disclosure was shown, so you can demonstrate Article 50 compliance to an auditor after the fact
- Human-oversight and approval workflows document the oversight measures Article 13 requires deployers to be able to exercise, with a record of who approved or overrode a decision and why
- Structured exports over REST, MCP, A2A, and OpenTelemetry — using the Python and TypeScript SDKs — let you fold decision evidence into the instructions-for-use and technical documentation you owe deployers, hosted with EU data residency in Germany
Frequently Asked Questions
What is the difference between Article 13 and Article 50 transparency?
Article 13 is a provider-to-deployer duty: providers of high-risk AI must give deployers instructions for use covering purpose, accuracy, limitations, and human-oversight measures. Article 50 is a system-to-person duty: people must be told when they are interacting with AI or seeing AI-generated or manipulated content. A single high-risk chatbot can owe both.
When do the Article 50 transparency obligations apply?
The Article 50 transparency obligations for providers and deployers apply from 2 August 2026 under Regulation (EU) 2024/1689. Building disclosure and synthetic-content marking into a product early is far cheaper than retrofitting it after launch.
Do I always have to label AI-generated content?
Not in every case. Article 50 provides narrow exceptions — for example, where AI interaction is obvious from context, for evidently artistic or satirical works (where a limited-form disclosure suffices), and for certain law-enforcement uses authorised by law. Outside those conditions, synthetic and deepfake content must be marked as artificially generated or manipulated.
Does the deepfake disclosure exception mean I can skip marking artistic content?
No. For evidently artistic, creative, satirical, or fictional work the disclosure may be presented in a way that does not hamper the display or enjoyment of the work, but it must still be disclosed. The exception limits the form of disclosure, it does not remove it.
Continue exploring the EU AI Act guide
EU AI Act Compliance Guide
The complete guide to EU AI Act compliance for AI agents — start here.
Article 12 — Record-Keeping & Logging
What every high-risk AI system must log, and how to capture it.
Article 14 — Human Oversight
Designing effective human-in-the-loop controls for AI decisions.
Annex III — High-Risk AI Systems
Which AI use cases the Act classifies as high-risk.
EU AI Act Compliance Checklist
A step-by-step checklist to reach and document compliance.
Compliance Cost Calculator
Estimate your EU AI Act compliance effort and cost.
Deadlines & Timeline
Key enforcement dates, including the August 2, 2026 deadline.
Fines & Penalties
Penalty tiers up to €35M or 7% of global annual turnover.
Risk Management & Conformity Assessment
Build a risk management system and assess conformity.
GPAI Obligations
Rules for providers of general-purpose AI models.
EU AI Act for US Companies
Extraterritorial scope and what US providers must do.
Omnibus Update
The latest changes to the EU AI Act timeline and rules.
Penalty Calculator
Estimate your maximum fine under the Article 99 tiers.
Article 11 + Annex IV
What technical documentation the EU AI Act requires.
Article 26: Deployer Obligations
What deployers of high-risk AI must do, including log retention.
Article 17: Quality Management
The QMS providers of high-risk AI must document.
Article 10: Data Governance
Data quality, bias mitigation, and governance duties.
Article 4: AI Literacy
The staff AI-literacy duty in force since February 2025.
Deployer vs Provider
Who bears which obligation — and when a deployer becomes a provider.
FRIA (Article 27)
Who must run a Fundamental Rights Impact Assessment, and how.
Who Does It Apply To?
Scope, operators, and the extraterritorial reach of the EU AI Act.
Post-Market Monitoring
Articles 72–73: ongoing monitoring and incident reporting.
ISO 42001 vs EU AI Act
How the voluntary standard and the binding law fit together.
NIST AI RMF vs EU AI Act
A practical crosswalk between the framework and the law.
EU AI Act for Healthcare
High-risk medical AI, MDR/IVDR interplay, and clinician oversight.
EU AI Act for Financial Services
Credit scoring, insurance pricing, and existing financial regulation.
EU AI Act for HR & Employment
Hiring AI as high-risk, plus NYC LL144 and EEOC overlap.