TY - GEN
T1 - How Do Professionals in SMEs Engage With AI and Regulation? An Interview Study in Austria
AU - Wolf-Brenner, Christof
AU - Pammer-Schindler, Viktoria
AU - Breitfuss, Gert
N1 - Publisher Copyright:
© 2024 ACM.
PY - 2024/9/1
Y1 - 2024/9/1
N2 - As Artificial Intelligence (AI) technology is becoming more widespread, small to medium sized enterprises (SMEs) are beginning to use it extensively. This paper presents the results of an interview study with eight CEOs or co-founders of SMEs. We explore the practical applications of AI technologies within these SMEs and their anticipation of forthcoming European AI regulations, specifically the AI Act. Additionally, we also investigate attitudes and dispositions towards voluntary codes of conduct as outlined within it. This study aims to shed light on the operational, regulatory, and ethical dimensions of AI integration within SMEs. It reveals that SMEs favor third-party AI systems, particularly those based on Large Language Models (LLMs), due to their convenience and minimal integration effort. Additionally, SMEs are keenly aware of their need for external support to navigate upcoming AI regulations, emphasizing the importance of tailored interventions to ensure compliance and optimal use of AI technologies. Lastly, SMEs view voluntary codes of conduct as outlined in the AI Act as a testament to a company's commitment to go beyond mere legal compliance, thus reinforcing trust. Based on our findings, we propose three design implications for the HCI community: convenient AI integration, post-adoptive regulatory support, and proactive ethical design.
AB - As Artificial Intelligence (AI) technology is becoming more widespread, small to medium sized enterprises (SMEs) are beginning to use it extensively. This paper presents the results of an interview study with eight CEOs or co-founders of SMEs. We explore the practical applications of AI technologies within these SMEs and their anticipation of forthcoming European AI regulations, specifically the AI Act. Additionally, we also investigate attitudes and dispositions towards voluntary codes of conduct as outlined within it. This study aims to shed light on the operational, regulatory, and ethical dimensions of AI integration within SMEs. It reveals that SMEs favor third-party AI systems, particularly those based on Large Language Models (LLMs), due to their convenience and minimal integration effort. Additionally, SMEs are keenly aware of their need for external support to navigate upcoming AI regulations, emphasizing the importance of tailored interventions to ensure compliance and optimal use of AI technologies. Lastly, SMEs view voluntary codes of conduct as outlined in the AI Act as a testament to a company's commitment to go beyond mere legal compliance, thus reinforcing trust. Based on our findings, we propose three design implications for the HCI community: convenient AI integration, post-adoptive regulatory support, and proactive ethical design.
KW - AI Adoption
KW - AI Regulation
KW - Code of Conduct
KW - Interview Study
KW - SME
UR - http://www.scopus.com/inward/record.url?scp=85203707190&partnerID=8YFLogxK
U2 - 10.1145/3670653.3677514
DO - 10.1145/3670653.3677514
M3 - Conference paper
AN - SCOPUS:85203707190
T3 - ACM International Conference Proceeding Series
SP - 646
EP - 650
BT - MuC 2024 - Proceedings of the 2024 Mensch und Computer
PB - Association of Computing Machinery
T2 - 2024 Mensch und Computer, MuC 2024
Y2 - 1 September 2024 through 4 September 2024
ER -