IDEAS home Printed from https://ideas.repec.org/p/eps/cepswp/37654.html
   My bibliography  Save this paper

Reconciling the AI Value Chain with the EU’s Artificial Intelligence Act

Author

Listed:
  • Engler, Alex
  • Renda, Andrea

Abstract

The EU Artificial Intelligence Act (AI Act), proposed by the European Commission in April 2021, is an ambitious and welcome attempt to develop rules for artificial intelligence, and to mitigate its risks. The current text, however, is based on a linear view of the AI value chain, in which one entity places a given AI system on the market and is made accountable for complying with the regulation whenever the system is considered ‘high risk’. In reality, the AI value chain can present itself in a wide variety of configurations. In this paper, in view of the many limitations of the Act, we propose a typology of the AI value chain featuring seven distinct scenarios, and discuss the possible treatment of each one under the AI Act. Moreover, we consider the specific case of general-purpose AI (GPAI) models and their possible inclusion in the scope of the AI Act, and offer six policy recommendations. First, the AI Act should discourage application programming interface access for GPAI use in high-risk AI systems, in order to avoid cases in which providers place systems on the market that they cannot fully observe, let alone control. Second, the AI Act should envisage soft commitments for GPAI model providers to strengthen legal certainty and reduce transaction costs. Third, for high-risk AI applications, the AI Act should discourage value chain types in which a vendor builds software for a specific intended purpose that includes code for training machine learning models, but does not provide the data itself or pre-trained AI models (‘software with AI model’ in our typology). Fourth, the AI Act should explicitly exempt the placing of an AI system online as free and open-source software. Fifth, there is a need to clarify ambiguities concerning the identity and obligations of the providers of high-risk AI systems (PHRAIS) in several of the common business models discussed in the AI value chain typology. Sixth, the proposals made in the European Parliament’s IMCO-LIBE draft report, adding specific new user requirements, should be incorporated into the final text of the AI Act.

Suggested Citation

  • Engler, Alex & Renda, Andrea, 2022. "Reconciling the AI Value Chain with the EU’s Artificial Intelligence Act," CEPS Papers 37654, Centre for European Policy Studies.
  • Handle: RePEc:eps:cepswp:37654
    as

    Download full text from publisher

    File URL: https://www.ceps.eu/wp-content/uploads/2022/09/CEPS-In-depth-analysis-2022-03_Reconciling-the-AI-Value-Chain-with-the-EU-Artificial-Intelligence-Act.pdf
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eps:cepswp:37654. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Margarita Minkova (email available below). General contact details of provider: https://edirc.repec.org/data/cepssbe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.