Regulating high-reach AI: on transparency directions in the Digital Services Act
(2024) In Internet Policy Review 13(1).- Abstract
- By introducing the concept of high-reach AI, this paper focuses on AI systems whose widespread use may generate significant risks for both individuals and societies. While some of those risks have been recognised under the AI Act, we are analysing the rules laid down by the Digital Services Act (DSA) for recommender systems used by dominant social media platforms, as a prominent example of high-reach AI. Specifically, we examine transparency provisions aimed at addressing adverse effects of these AI technologies employed by social media very large online platforms (VLOPs).
Drawing from AI transparency literature, we analyse DSA transparency measures through the conceptual lens of horizontal and vertical transparency. Our... (More) - By introducing the concept of high-reach AI, this paper focuses on AI systems whose widespread use may generate significant risks for both individuals and societies. While some of those risks have been recognised under the AI Act, we are analysing the rules laid down by the Digital Services Act (DSA) for recommender systems used by dominant social media platforms, as a prominent example of high-reach AI. Specifically, we examine transparency provisions aimed at addressing adverse effects of these AI technologies employed by social media very large online platforms (VLOPs).
Drawing from AI transparency literature, we analyse DSA transparency measures through the conceptual lens of horizontal and vertical transparency. Our analysis indicates that while the DSA incorporates transparency provisions in both dimensions, the most progressive amendments emerge within the vertical transparency, for instance, by the introduction of the systemic risk assessment mechanism.
However, we argue that the true impact of the new transparency provisions extends beyond their mere existence, emphasising the critical role of oversight entities in implementation and application of the DSA. Overall, this study highlights the paramount importance of vertical transparency in providing a comprehensive understanding of the aggregated risks associated with high-reach AI technologies, exemplified by social media recommender systems. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/0a68ba57-f447-4df8-b45b-d1937be5cff0
- author
- Söderlund, Kasia LU ; Engström, Emma ; Haresamudram, Kashyap LU ; Larsson, Stefan LU and Strimling, Pontus
- organization
- publishing date
- 2024-03-20
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- high-reach AI, Recommender systems, Digital Services Act, Social media, AI transparency
- in
- Internet Policy Review
- volume
- 13
- issue
- 1
- publisher
- The Alexander Humboldt Institute for Internet and Society
- external identifiers
-
- scopus:85192168663
- ISSN
- 2197-6775
- DOI
- 10.14763/2024.1.1746
- language
- English
- LU publication?
- yes
- id
- 0a68ba57-f447-4df8-b45b-d1937be5cff0
- date added to LUP
- 2024-03-25 22:46:32
- date last changed
- 2024-05-14 15:18:09
@article{0a68ba57-f447-4df8-b45b-d1937be5cff0, abstract = {{By introducing the concept of high-reach AI, this paper focuses on AI systems whose widespread use may generate significant risks for both individuals and societies. While some of those risks have been recognised under the AI Act, we are analysing the rules laid down by the Digital Services Act (DSA) for recommender systems used by dominant social media platforms, as a prominent example of high-reach AI. Specifically, we examine transparency provisions aimed at addressing adverse effects of these AI technologies employed by social media very large online platforms (VLOPs). <br/> <br/>Drawing from AI transparency literature, we analyse DSA transparency measures through the conceptual lens of horizontal and vertical transparency. Our analysis indicates that while the DSA incorporates transparency provisions in both dimensions, the most progressive amendments emerge within the vertical transparency, for instance, by the introduction of the systemic risk assessment mechanism.<br/> <br/>However, we argue that the true impact of the new transparency provisions extends beyond their mere existence, emphasising the critical role of oversight entities in implementation and application of the DSA. Overall, this study highlights the paramount importance of vertical transparency in providing a comprehensive understanding of the aggregated risks associated with high-reach AI technologies, exemplified by social media recommender systems.}}, author = {{Söderlund, Kasia and Engström, Emma and Haresamudram, Kashyap and Larsson, Stefan and Strimling, Pontus}}, issn = {{2197-6775}}, keywords = {{high-reach AI; Recommender systems; Digital Services Act; Social media; AI transparency}}, language = {{eng}}, month = {{03}}, number = {{1}}, publisher = {{The Alexander Humboldt Institute for Internet and Society}}, series = {{Internet Policy Review}}, title = {{Regulating high-reach AI: on transparency directions in the Digital Services Act}}, url = {{http://dx.doi.org/10.14763/2024.1.1746}}, doi = {{10.14763/2024.1.1746}}, volume = {{13}}, year = {{2024}}, }