Soziale Grundlagen der Informatik Article 2024

Integration of Generative AI in the Digital Markets Act: Contestability and Fairness from a Cross-Disciplinary Perspective

The EU’s Digital Markets Act (DMA) aims to address the lack of contestability and unfair practices in digital markets. But the current framework of the DMA does not adequately cover the rapid advance of generative AI. As the EU adopts AI-specific rules and considers possible amendments to the DMA, this paper suggests that generative AI should be added to the DMA’s list of core platform services. This amendment is the first necessary step to address the emergence of entrenched and durable positions in the generative AI industry.

Author(s): Yasar, Ayse Gizem and Chong, Andrew and Dong, Evan and Gilbert, Thomas and Hladikova, Sarah and Mougan, Carlos and Shen, Xudong and Singh, Shubham and Stoica, Ana-Andreea and Thais, Savannah
Book Title: Workshop on Generative AI + Law (GenLaw)
Year: 2024
Month: March
Publisher: LSE Legal Studies Working Paper
Bibtex Type: Article (article)
State: Published
URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4769439
Electronic Archiving: grant_archive
Event Name: The Fortieth International Conference on Machine Learning (ICML) 2023

BibTex

@article{yasar2024integration,
  title = {Integration of Generative AI in the Digital Markets Act: Contestability and Fairness from a Cross-Disciplinary Perspective},
  booktitle = {Workshop on Generative AI + Law (GenLaw) },
  abstract = {The EU’s Digital Markets Act (DMA) aims to address the lack of contestability and unfair practices in digital markets. But the current framework of the DMA does not adequately cover the rapid advance of generative AI. As the EU adopts AI-specific rules and considers possible amendments to the DMA, this paper suggests that generative AI should be added to the DMA’s list of core platform services. This amendment is the first necessary step to address the emergence of entrenched and durable positions in the generative AI industry.},
  publisher = {LSE Legal Studies Working Paper},
  month = mar,
  year = {2024},
  slug = {yasar2024integration},
  author = {Yasar, Ayse Gizem and Chong, Andrew and Dong, Evan and Gilbert, Thomas and Hladikova, Sarah and Mougan, Carlos and Shen, Xudong and Singh, Shubham and Stoica, Ana-Andreea and Thais, Savannah},
  url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4769439},
  month_numeric = {3}
}