legal documen­tation

DeepVA AI Act Addendum

Last updated: April 20, 2026

Intro­duction

This Addendum to the EU AI Act (“AI Act Addendum”) is entered into as a legally binding part of the Master Subscription Agreement (“MSA”) as well as any supple­mentary agree­ments (esp. the Side Agreement) between Aben DeepVA GmbH (“Provider” or “DeepVA”) and the Subscriber (“Deployer” or “Customer” or “Subscriber”) (collec­tively the “Parties”).

Preamble

Regulation (EU) 2024/1689 of the European Parliament and of the Council laying down harmo­nized rules on artificial intel­li­gence (“AI Act”) estab­lishes a new legal framework for the devel­opment and use of AI systems. Since the Customer integrates the DeepVA Services into its own business processes and/or software products, this AI Act Addendum aims to legally allocate the regulatory oblig­a­tions between the Parties.

§1 Subject Matter and Order of Prece­dence

  • This AI Act Addendum concretizes the principles set out in Section 1.18 of the MSA (“AI Gover­nance”).
  • In the event of substantive contra­dic­tions between this AI Act Addendum, the MSA, the SLA, or the Side Agreement, the provi­sions of this AI Act Addendum shall strictly prevail with regard to compliance with the AI Act.

§ 2 Regulatory Classi­fi­cation and Allocation of Roles

  • Role of the Provider DeepVA provides AI models and services via API and platform accesses and acts in this respect as a “Provider” (Art. 3 No. 2 AI Act) of general-purpose AI models (GPAI) and of AI systems.
  • Role of the Deployer The Customer uses the DeepVA Services under its own respon­si­bility, deter­mines the specific intended purpose, and acts as a “Deployer” (Art. 3 No. 4 AI Act).
  • Risk Classi­fi­cation The Parties clarify that the DeepVA Services, in their standard version, are not designed or certified by the Provider as high-risk AI systems (Art. 6 AI Act), but are classified as systems with limited risk (trans­parency risk).

§ 3 Oblig­a­tions and Warranties of DeepVA

  • Trans­parency and System Documen­tation
    DeepVA provides the Customer with the technical documen­tation required under the AI Act (esp. descrip­tions of system capabil­ities and limita­tions).
  • Protection of Training Data
    DeepVA contrac­tually and techni­cally warrants that the input data (image, audio, video, text) provided by the Customer within the scope of contractual use will not be incor­po­rated into the training pool of the global foundation models of DeepVA or its subcon­tractors (Third-Party AI Models) (so-called No-Training Policy).
  • Labeling (Water­marking / C2PA)
    Insofar as DeepVA is obligated to do so under Art. 50 Para. 2 AI Act, DeepVA ensures that AI-generated or manip­u­lated content (esp. synthetic media) is labeled as such in a machine-readable format (e.g., via C2PA metadata).

§ 4 Compliance Oblig­a­tions of the Customer (Deployer)

  • Prohibited Practices and High-Risk Systems In addition to Section 1.3 (n) and (o) of the MSA, the Customer is strictly prohibited from using the DeepVA Services for purposes that fall under Art. 5 AI Act (Prohibited AI practices, e.g., social scoring, real-time remote biometric identi­fi­cation) or Art. 6 AI Act in conjunction with Annex III (High-risk AI systems). If the Customer never­theless deploys the Services in a high-risk context through its own config­u­ration, Custom Prompting, or Fine-Tuning, the Customer itself becomes a fully respon­sible provider within the meaning of the AI Act. )
  • Trans­parency Oblig­a­tions towards End Users The Customer bears the sole legal respon­si­bility for compliance with the infor­mation oblig­a­tions pursuant to Art. 50 AI Act. The Customer shall imper­a­tively ensure that natural persons are informed in a clear and compre­hen­sible manner when they interact with an AI system or when AI-generated or synthetic content (so-called Deepfakes) is provided to them.
  • Integrity of the Labeling The Customer under­takes not to remove, suppress, or techni­cally alter the technical proofs of origin (water­marks, C2PA metadata) provided by DeepVA when displaying content to its end users.
  • Human Oversight The Customer imple­ments appro­priate internal processes to ensure that AI-generated outputs are criti­cally reviewed for accuracy and freedom from hallu­ci­na­tions or imper­mis­sible bias before they are used for business purposes or published.

§ 5 Post-Market Monitoring and Incident Reporting

To fulfill the provider’s statutory post-market monitoring oblig­a­tions, the Customer is obligated to inform DeepVA without undue delay—but no later than within 48 hours of becoming aware—in text form (e.g., via support ticket) if a “serious incident” (Art. 3 No. 49 AI Act) occurs or if there is a reasonable suspicion that the output of the DeepVA Services system­at­i­cally violates Union law or national funda­mental rights.

§ 6 Chain of Respon­si­bility (Pass-Down upon Integration)

  • Insofar as the Customer is granted the right to integrate the DeepVA Services into its own products under the Side Agreement (“DeepVA Enter­prise Tier”), this § 6 consti­tutes an essential condition for maintaining this right: The Customer under­takes to seamlessly pass down the deployer oblig­a­tions resulting from §§ 4 and 5 of this AI Act Addendum to its own end users through legally binding General Terms and Condi­tions.
  • The Customer shall be strictly liable to DeepVA for the regulatory misconduct of its end customers as if it were its own misconduct.

§ 7 Indem­ni­fi­cation and Liability

  • The Customer shall indemnify DeepVA upon first demand against all claims, damages, fines (esp. those pursuant to Art. 99 AI Act), and reasonable costs of legal defense resulting from the Customer or its end users (a) using the DeepVA Services contrary to § 4 for prohibited or high-risk systems, (b) violating the trans­parency oblig­a­tions of Art. 50 AI Act, or © removing warnings or metadata.

  • With regard to liability claims incurred by the Customer due to faulty AI outputs (incl. IP infringe­ments), the limita­tions and exclu­sions of liability set out in Section 10 of the MSA and Section 5 of the Side Agreement (esp. for Third-Party AI Models) shall continue to apply in full.

§ 8 Prevailing Special Condi­tions (Overrides to the MSA)

The Parties hereby expressly agree that the following provi­sions of this Addendum shall strictly prevail over the provi­sions of the Master Subscription Agreement (MSA) and shall replace or

modify them to that extent:

  1. Restriction of the AI Defin­ition (Override to Sec. 1 MSA — Defin­i­tions)
    Notwith­standing the broad defin­ition of “AI” or “Artificial Intel­li­gence” in Section 1 of the MSA, the applic­a­bility of this Addendum and all regulatory oblig­a­tions is based exclu­sively on the legal defin­ition of “AI systems” and “AI models” pursuant to Art. 3 AI Act. Conven­tional deter­min­istic software compo­nents of the DeepVA Services are expressly not subject to the oblig­a­tions of the AI Act.
  2. Strict Restriction of Biometric Analyses (Override to Sec. 1.3 MSA — Acceptable Use)
    In mandatory addition to and strength­ening of Section 1.3 of the MSA, the Customer is hereby expressly and irrev­o­cably prohibited from using the DeepVA Services—in particular the Face Recog­nition and Diversity Analysis modules—for practices that are prohibited under Art. 5 AI Act. This includes in particular, but is not limited to:
    a) use for emotion recog­nition in the workplace or in educa­tional insti­tu­tions;
    b) the biometric catego­rization of natural persons based on sensitive charac­ter­istics (such as ethnic origin, political opinions, religious beliefs, or sexual orien­tation);
    c) the untar­geted scraping of facial images from the internet or CCTV footage to create or expand facial recog­nition databases.
  3. Prohi­bition of Model Training (Override to Sec. 4 MSA — Data Processing/Feedback)
    Notwith­standing any usage rights to customer data granted in Section 4 of the MSA (or compa­rable clauses) for service improve­ments, DeepVA hereby bindingly warrants (so-called No-Training Policy): Neither DeepVA nor subcon­tractors engaged by DeepVA will use the input data (texts, images, audio, video) fed into the Services by the Customer or the generated outputs to train, fine-tune, or alter the weights of the under­lying global AI foundation models (Foundation Models / GPAI). Any liability of the Customer for alleged copyright infringe­ments arising from model training (Art. 53 AI Act) in relation to its input data is thereby excluded.

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