Our reading recommendations

The AI Act’s emphasis on algorithmic transparency and accountability is set to significantly impact Open Source software development in AI. Developers will need to ensure that their code is not only accessible but also understandable and traceable, which could increase the complexity and time required for development. Open Source projects may need to establish new documentation standards and verification processes to comply with these requirements.

Here are some articles we’ve read on the subject:

  • The EU’s AI Act Creates Regulatory Complexity for Open-Source AI : The article looks at the aspects of the Act that deal with open source AI, and tries to demonstrate how it brings in unique rules relating to open source, but which can be complex and even problematic for the community as a whole.
  • Choose Your Own Adventure: The EU AI Act and Openish AI : The article gives a review of the meaning and course of usage of the term “Free and Open Source License” within and outside the context of the Law. It also present the requirements of the Act regarding open source models, as well as a perspective on the possible impacts of the exception granted to open source models.
  • A Frakenstein-like approach: open source in the AI Act : The article tries to give an overview of open source provisions in the AI Act, explaining how it bolts an explicit carve-out for open source models onto a tiered approach.

What do you think of what’s been mentioned in these articles? Do you have any articles or studies you would like to share? Feel free to contribute to this discussion, whether to add information, share experiences or ask questions.