The European Union's Regulatory Challenge: Conceptualizing Purpose in Artificial Intelligence
Lanamäki, Arto; Väyrynen, Karin; Vainionpää, Fanny (2024-04-30)
Association for Information Systems
30.04.2024
Lanamäki, Arto; Väyrynen, Karin; and Vainionpää, Fanny, "The European Union's Regulatory Challenge: Conceptualizing Purpose in Artificial Intelligence" (2024). ECIS 2024 Proceedings. 1. https://aisel.aisnet.org/ecis2024/track04_impactai/track04_impactai/1
https://rightsstatements.org/vocab/InC/1.0/
© 2024 The authors.
https://rightsstatements.org/vocab/InC/1.0/
© 2024 The authors.
https://rightsstatements.org/vocab/InC/1.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202405083192
https://urn.fi/URN:NBN:fi:oulu-202405083192
Tiivistelmä
Abstract
In April 2021, the European Commission proposed the Artificial Intelligence Act (AIA) to regulate AI throughout Europe. This regulation categorizes AI risks based on their intended uses, as defined by their providers. In this paper we have tracked the AIA’s policy process up to the June 2023 EU Parliament vote. Significant events, like the launch of ChatGPT, have made the regulation process more complex. Initially, it was assumed AI could be regulated based on its intended purpose. However, concepts like ‘general purpose artificial intelligence’ (GPAI) and ‘foundation models’ emerged, showing AI can have a myriad of purposes, some known, and others emerging during use. These developments challenge our understanding of AI. We contribute to IS research by problematizing the common assumption that technology’s purpose is easily defined. Practically, we highlight the difficulties in regulating AI, emphasizing its complex nature.
In April 2021, the European Commission proposed the Artificial Intelligence Act (AIA) to regulate AI throughout Europe. This regulation categorizes AI risks based on their intended uses, as defined by their providers. In this paper we have tracked the AIA’s policy process up to the June 2023 EU Parliament vote. Significant events, like the launch of ChatGPT, have made the regulation process more complex. Initially, it was assumed AI could be regulated based on its intended purpose. However, concepts like ‘general purpose artificial intelligence’ (GPAI) and ‘foundation models’ emerged, showing AI can have a myriad of purposes, some known, and others emerging during use. These developments challenge our understanding of AI. We contribute to IS research by problematizing the common assumption that technology’s purpose is easily defined. Practically, we highlight the difficulties in regulating AI, emphasizing its complex nature.
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