Transparency Requirements for Low-Risk AI Systems under the AI Act

Question

How is transparency defined in the AI Act and what transparency requirements apply to low-risk Ai systems?

Executive Summary

In response to the AI Act’s transparency requirements for low-risk AI systems, here’s a concise summary identifying the key legal considerations for entrepreneurs:

  • Definition of Transparency: The AI Act establishes transparency as a fundamental attribute across all AI system classifications, emphasizing the importance of clear user communication, particularly for systems impacting rights and well-being.
  • Transparency Requirements: All AI systems, including low-risk ones, must:
    • Reveal their AI nature during direct interaction with users.
    • Disclose when content is AI-generated or manipulated, ensuring users are aware of its artificial origin.
    • Adopt good practices in data management, enhancing trust and compliance.
  • Transparency as a Best Practice: While specific transparency obligations are mandated for high-risk AI systems, maintaining logs and transparent data governance are considered beneficial across all AI systems, contributing to overall accountability and ethical use.

By incorporating these transparency principles into your AI-driven business models, you can align with the AI Act’s expectations and foster responsible innovation in the EU market.

Assumptions

  1. ‘Low-risk’ Definition: For the purpose of this analysis, we will assume “low-risk” AI systems are those not explicitly classified as high-risk within Annex III of the AI Act or outlined in Article 5’s prohibitions.

  2. Scope of ‘Transparency’: We will assume ‘transparency’ refers to all aspects relevant to the regulation—development, data gathering, algorithmic decision-making, and user interaction.

  3. Applicability of EU AI Act: Given the context, we will assume that the AI systems in question fall within the scope of the EU AI Act and are intended for use within the European Union.