Marwa Soudi and Merja Bauters
pp. 109 – 136, download
(https://doi.org/10.55612/s-5002-068-004)
Abstract
Micro, Small and Medium sized enterprises (MSMEs) face considerable challenges in adopting Responsible Artificial Intelligence (RAI), including limited technical capacity, a lack of tailored tools, and insufficient access to training and certification. This study investigates the landscape of RAI assessment tools and evaluates their applicability to MSMEs. Through co-design workshops with Estonian MSMEs and analysis of 18 publicly available RAI assessment tools, the research identifies key gaps in the current assessment tools using the lens of the participating MSMEs, particularly in learning support and consideration of environmental impact. The findings highlight that few tools address the specific needs of MSMEs, including cross-sector cooperation and academic partnerships. This research advances perspectives on co-designing future RAI by demonstrating that the dominant paradigm of RAI governance remains structurally compliance-centric instead of allowing MSMEs to have a say. Limitations include geographic concentration and qualitative scope, suggesting the need for more cross-regional and empirical studies. The study calls for a shift from tool centric compliance models to dynamic, ecosystem-based strategies for sustainable adoption of RAI.
Keywords: Responsible AI, MSMEs, AI Assessment Tools, EU AI Act..
References
1. Crockett, K., Colyer, E., Gerber, L., Latham, A.: Building trustworthy AI solutions: A case for practical solutions for small businesses. IEEE Transactions on Artificial Intelligence 4(4), 778–791 (2023). https://doi.org/10.1109/tai.2021.3137091
2. Govori, A., Sejdija, Q.: Future prospects and challenges of integrating Artificial Intelligence within the business practices of small and medium enterprises. Journal of Governance and Regulation 12(2), 176–183 (2023).
https://doi.org/10.22495/jgrv12i2art16
3. Lemos, S.I., Ferreira, F.A., Zopounidis, C., Galariotis, E., Ferreira, N.C.: Artificial Intelligence and change management in small and medium-sized enterprises: An analysis of dynamics within adaptation initiatives. Annals of Operations Research (2022). https://doi.org/10.1007/s10479-022-05159-4
4. Walters, J., Dey, D., Bhaumik, D., Horsman, S.: Complying with the EU AI Act. Communications in Computer and Information Science, 65–75 (2024). https://doi.org/10.1007/978-3-031-50485-3 5
5. Schoeman, F., Seymour, L.: Understanding the low adoption of AI in South African medium sized organisations. EPiC Series in Computing 85, 257–269 (2022). https://doi.org/10.29007/c4rr
6. IBM: What is responsible AI? (2024). https://www.ibm.com/topics/responsible-ai
7. Radclyffe, C., Ribeiro, M., Wortham, R.H.: The assessment list for trustworthy Artificial Intelligence: A review and recommendations. Frontiers in Artificial Intelligence 6 (2023). https://doi.org/10.3389/frai.2023.1020592
8. Stahl, B.C., Antoniou, J., Bhalla, N., Brooks, L., Jansen, P., Lindqvist, B., Kirichenko, A., Marchal, S., Rodrigues, R., Santiago, N., et al.: A systematic review of artificial intelligence impact assessments. Artificial Intelligence Review 56(11), 12799–12831 (2023). https://doi.org/10.1007/s10462-023-10420-8
9. Xia, B., Lu, Q., Perera, H., Zhu, L., Xing, Z., Liu, Y., Whittle, J.: Towards concrete and connected AI risk assessment (cˆ2 aira): A systematic mapping study. 2023 IEEE/ACM 2nd International Conference on AI Engineering – Software Engineering for AI (CAIN) (2023). https://doi.org/10.1109/cain58948.2023.00027
10. Soudi, M.S., Bauters, M.: AI guidelines and ethical readiness inside SMEs: A review and recommendations. Digital Society 3(1) (2024) https://doi.org/10.1007/s44206-024-00087-1
11. Jager, J., Putnick, D.L., Bornstein, M.H.: Ii. more than just convenient: The scientific merits of homogeneous convenience samples.Monographs of the Society for Research in Child Development 82(2),13–30 (2017). https://doi.org/10.1111/mono.12296
12. Ehn, P.: Scandinavian Design: On Participation and Skill. CRC Press,(1993)
13. Durall, E., Bauters, M., Hietala, I., Leinonen, T., Kapros, E.:Co-creation and co-design in technology-enhanced learning: Innovating science learning outside the classroom. Interaction Designand Architecture(s) (42), 202–226 (2019). https://doi.org/10.55612/s-5002-042-010
14. Mattelm¨aki, T.: Design Probes. University of Art and Design, (2006). Google-Books-ID: nCsmMQAACAAJ
15. Kapborg, I., Berter¨o, C.: Using an interpreter in qualitative interviews: does it threaten validity? Nursing Inquiry 9(1), 52–56 (2002). https://doi.org/10.1046/j.1440-1800.2002.00127.x
16. Braun, V., Clarke, V.: Using thematic analysis in psychology. Qualitative Research in Psychology 3(2), 77–101 (2006). https://doi.org/10.1191/1478088706qp063oa