Version: 2.1 – Last updated: June 18, 2026.
These legal notices are written in French. Any translation, particularly into English, is provided for informational purposes only. In case of any divergence, ambiguity, or difficulty in interpretation between the French version and a translated version, only the French version shall prevail.

Polaria Tech AI Act Compliance Policy

‍
Polaria Tech, as a company specializing in artificial intelligence solutions, is committed to scrupulously complying with the European Regulation on Artificial Intelligence (commonly known as the AI Act). This compliance policy describes how Polaria Tech ensures the conformity of its RAG-type AI chatbots (Retrieval-Augmented Generation) with this regulatory framework, by defining roles and responsibilities, distinguishing applicable risk levels, and implementing the required transparency obligations.

1. Definition of AI Solutions and Polaria Tech's Role

Polaria Tech designs and provides AI-powered chatbots (particularly via RAG technology). These solutions align with the definition of artificial intelligence systems (AIS) provided by the European Regulation – i.e., autonomous and adaptive software systems capable of generating predictions, content, or decisions from data. As such, Polaria Tech acts as a provider of AI systems within the meaning of the AI Act, meaning the entity that develops an AI system and places it on the market under its own name or trademark.

This policy applies to all AI products and services offered by Polaria Tech.

2. Compliance Commitment and Prohibited Practices

Polaria Tech demonstrates a strong commitment to regulatory compliance. The company explicitly pledges not to provide any AI solutions that employ practices prohibited by the AI Act. In particular, Polaria Tech prohibits any use of forbidden AI techniques listed in Article 5 of the Regulation, such as:
-Subliminal, manipulative, or deceptive techniques aimed at altering a person's behavior without their knowledge;
-Exploiting the vulnerabilities of individuals (due to their age, disability, socio-economic situation, etc.);
-Social scoring systems for individuals based on their behavior or personal characteristics;
-Predictive systems assessing the risk of a person committing an offense (predictive policing);
-Unjustified mass biometric surveillance or any other practice expressly prohibited by law.

Polaria Tech does not develop or market any systems falling into these unacceptable risk categories. This commitment ensures that our AI solutions respect fundamental rights and ethical principles in force, in accordance with Article 5 of the AI Act.

3. Risk Levels and Associated Compliance Measures

The European Regulation adopts a risk-based approach for AI systems. Polaria Tech therefore distinguishes two compliance scenarios based on the classification of its solutions: on the one hand, potentially high-risk systems, and on the other hand, limited-risk systems (a category where our chatbots are primarily situated). Each risk level is subject to specific measures on our part to ensure compliance.

3.1 High-Risk AI Systems

As a matter of principle, Polaria Tech does not offer systems falling into the high-risk AI category as defined by the AI Act (e.g., AIs used in recruitment, credit scoring, healthcare, or other domains listed in Annex III of the Regulation). However, should Polaria Tech develop or provide a solution classified as high-risk in the future, all required regulatory precautions and measures would be rigorously implemented.

Specifically, Polaria Tech commits to applying all obligations stipulated by the AI Act for high-risk AI systems. This notably includes: establishing an adapted risk management system, compiling comprehensive technical documentation, implementing human oversight mechanisms when required, regular testing for accuracy, robustness, and cybersecurity, and adhering to conformity assessment procedures before market placement. These measures ensure that the system meets all legal and technical requirements applicable to its high-risk level. Polaria Tech will also ensure that users or deployers of such systems are provided with all necessary information for compliant and safe use.

3.2 Limited-Risk AI Systems

Most of the AI solutions offered by Polaria Tech (particularly our AI chatbots) fall under the limited-risk category as defined by the AI Act. These systems do not pose a high risk to safety or fundamental rights, and are therefore not subject to the strict obligations and prior assessments imposed on high-risk AIs. However, they must comply with certain specific transparency obligations stipulated by the regulation for limited-risk AI systems.

Polaria Tech acknowledges that, legally, limited-risk AI systems only entail transparency obligations (minimal-risk AI systems, for their part, have no specific obligations). Consequently, the company ensures that all transparency requirements applicable to its chatbots and other limited-risk AIs are fully met. This compliance effort aims to clearly inform users and ensure responsible use of our technologies, even when they present only a moderate risk.

Exclusion from GPAI Regime: Polaria Tech's solutions do not fall under the General Purpose AI (GPAI) model regime defined in Articles 51 to 56 of the AI Act. Indeed, Polaria Tech's RAG chatbots are not foundation models trained on large volumes of data and intended to be made available to the general public for a multitude of undifferentiated tasks. Instead, they are specialized application systems, built on top of third-party models (Mistral AI), configured and constrained to a precise domain defined by the client, and deployed within a delimited professional context. As such, Polaria Tech acts as an application deployer and not a GPAI provider, which excludes the application of specific obligations under Articles 53 and 55 of the Regulation.

(NB: The section concerning the "Right to Explanation" for automated decisions has been removed from our policy, as this principle is not required by the AI Act for limited-risk AI systems.)

4. Transparency Obligations

In accordance with the Regulation (Chapter IV on Transparency) and our ethical commitment, Polaria Tech implements all transparency measures required for AI systems intended to interact with the public or generate content. These measures aim to ensure that users are always aware that they are interacting with an AI or consuming AI-generated content, in order to preserve trust and clarity. The main transparency obligations applied by Polaria Tech are as follows:

-AI Identification During Interactions: For any Polaria Tech chatbot or virtual assistant that interacts directly with natural persons, we ensure that the user is explicitly informed that it is an AI system (e.g., via a message or a visual indicator in the interface). The user must at no point believe they are interacting with a human without being notified. (In accordance with Article 50(1) of the AI Act, this information may not need to be repeated if it is obvious to a normally attentive user in the given use context that they are dealing with an AI.)

-Marking of Generated Content: Polaria Tech's AI systems capable of producing audio, video, image, or text content incorporate marking mechanisms. Specifically, any content generated or manipulated by our AI is accompanied by an indicator (such as a digital watermark or a mention in the metadata) signaling its artificial origin. These markings are designed in a machine-readable format so that they can be automatically detected, and they aim to clearly alert human users that the content was generated by artificial intelligence. For example, an image created by our AI will include an invisible tag indicating that it is a synthetic image. Polaria Tech thus complies with the transparency obligation for synthetic content as stipulated in Article 50(2) of the AI Act.

- Polaria Tech makes it a point of honor to guarantee the reliability and robustness of its AI systems, as well as the interoperability of the technical transparency solutions it deploys. The marking and information mechanisms mentioned above are developed according to the state of the art, to be effective in various technical environments. We ensure that these solutions remain effective, interoperable, robust, and reliable, to the technically possible extent, regardless of the type of content generated and the implementation constraints. This continuous effort aims to ensure that our transparency obligations are optimally fulfilled without harming the user experience, and that our systems inspire confidence through their quality and compliance.

5. Implementation and Monitoring

Polaria Tech has implemented internal procedures to ensure daily adherence to this compliance policy. The AI governance team actively monitors regulatory developments to anticipate changes to the AI Act and associated standards. Should the legal framework be updated or requirements clarified (e.g., via European Commission guidelines), Polaria Tech will promptly adapt its practices and update this policy accordingly.

Internal training sessions are provided to developers, project managers, and other relevant employees to raise awareness of specific obligations (particularly transparency obligations and the prohibition of certain practices). Furthermore, each new AI project undergoes a compliance assessment during the design phase to identify its risk level and apply appropriate measures from the outset.

Finally, Polaria Tech maintains transparency with its clients and users regarding its compliance efforts. Upon request, the company can provide additional information on how a particular AI system meets the AI Act's requirements (e.g., description of integrated transparency mechanisms, summary technical documentation, etc.). This open approach reflects our commitment to combining innovation in artificial intelligence with adherence to the current regulatory and ethical framework.

Polaria Tech remains available to answer any questions regarding this AI Act compliance policy. The company reaffirms that regulatory compliance and user trust are central to its mission in developing responsible artificial intelligence solutions.