Abstract
EU is preparing to introduce the AU AI Act, hopefully by end of 2023. This is causing a great amount of anxiety among a variety of industries. In this study, we look at the EU-AI Act and its impact on Irish small and medium enterprises (SMEs) to analyze what would be the perception of the act as well as the pain points of the SMEs in adapting to this act. We use qualitative methods and semi-structured interviews to identify themes and patters in our study. We find the general lack of trust in government’s support and heavy regulatory requirement from resource constrained SMEs are the primary factors that are causing concerns in this sector.
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References
EC: White Paper on Artificial Intelligence - A European Approach to Excellence and Trust. European Commission (2020)
European Digital SME Alliance. https://www.digitalsme.eu/the-ai-act-help-or-hindrance-for-smes/
EC: Laying Down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act) and Amending Certain Union Legislative Acts. European Commission (2021)
European Commission. https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai
Mayson Hayes & Curran. https://www.mhc.ie/hubs/legislation/the-eu-artificial-intelligence-act
European Commission. https://single-market-economy.ec.europa.eu/smes/sme-definition_en
GOI: AI - Here for Good: National Artificial Intelligence Strategy for Ireland. Department of Enterprise, Trade and Employment (2022)
Jha, A.K., Bose, I.: Innovation styles, processes, and their drivers: an organizational perspective. In: Technology, Innovation, and Enterprise Transformation, pp. 143–163. IGI Global (2015)
Ågerfalk, P.J., et al.: Artificial intelligence in information systems: state of the art and research roadmap. Commun. Assoc. Inf. Syst. (2022)
Nilsson, N.J.: The Quest for Artificial Intelligence. Cambridge University Press, Cambridge (2009)
Aziz, S., Dowling, M.M.: AI and machine learning for risk management. In: Lynn, T., Mooney, G., Rosati, P., Cummins, M. (eds.) Disrupting Finance: FinTech and Strategy in the 21st Century, pp. 33–50. Palgrave Macmillan (2019)
Brynjolfsson, E., Mitchell, T., Rock, D.: What can machines learn, and what does it mean for occupations and the economy? In: AEA Papers and Proceedings, vol. 108, pp. 43–47 (2018)
Rao, T., Gaddam, A., Kurni, M., Saritha, K.: Reliance on artificial intelligence, machine learning and deep learning in the era of industry 4.0. In: Islam, S.K.H., Samanta, D. (eds.) Smart Healthcare System Design, pp. 281–299. Wiley, New York (2021)
Jha, A.K., Bose, I.: Linking drivers and outcomes of innovation in IT firms: the role of partnerships. Inf. Syst. Front. 23, 1593–1607 (2021)
Bubeck, S., et al.: Sparks of artificial general intelligence: early experiments with GPT-4 (2023)
Srinivasan, R., Jha, A.K., Verma, N.K.: To talk or not?: An analysis of firm-initiated social media communication’s impact on firm value preservation during a massive disruption across multiple firms and industries. Decis. Sci. 54, 410–431 (2023)
OpenAI: GPT-4 Technical Report. arXiv abs/2303.08774 (2023)
Mikalef, P., Gupta, M.: Artificial intelligence capability: conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Inf. Manag. 58, 103434 (2021)
Davenport, T.H.: The AI Advantage: How to Put the Artificial Intelligence Revolution to Work. The MIT Press, Cambridge (2018)
Gomes, C., et al.: Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62, 56–65 (2019)
Cowls, J., Tsamados, A., Taddeo, M., Floridi, L.: A definition, benchmark and database of AI for social good initiatives. Nat. Mach. Intell. 3, 111–115 (2021)
World Economic Forum. https://www.weforum.org/agenda/2023/03/the-european-union-s-ai-act-explained/#:~:text=The%20Artificial%20Intelligence%20Act%20was,discussion%20in%20the%20European%20Parliament
Jarvenpaa, S.L., Majchrzak, A.: Research commentary—vigilant interaction in knowledge collaboration: challenges of online user participation under ambivalence. Inf. Syst. Res. 21, 773–784 (2010)
Mäntymäki, M., Minkkinen, M., Birkstedt, T., Viljanen, M.: Defining organizational AI governance. AI Ethics 2, 603–609 (2022)
Dignum, V.: Responsibility and artificial intelligence. In: Dubber, M.D., Pasquale, F., Das, S. (eds.) The Oxford Handbook of Ethics of AI, pp. 214–231. Oxford University Press, Oxford (2020)
Fjeld, J., Achten, N., Hilligoss, H., Nagy, A., Srikumar, M.: Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI. Berkman Klein Center Research Publication (2020)
Butcher, J., Beridze, I.: What is the state of artificial intelligence governance globally? RUSI J. 164, 88–96 (2019)
AI-HLEG: Ethics Guidelines for Trustworthy AI. European Commission (2019)
Georgieva, I., Lazo, C., Timan, T., van Veenstra, A.F.: From AI ethics principles to data science practice: a reflection and a gap analysis based on recent frameworks and practical experience. AI Ethics 2, 697–711 (2022)
Morley, J., Floridi, L., Kinsey, L., Elhalal, A.: From what to how: an initial review of publicly available AI ethics tools, methods and research to translate principles into practices. Sci. Eng. Ethics 26, 2141–2168 (2020)
Politico. https://www.politico.eu/article/ai-data-regulator-rules-next-european-commission-takes-aim/
Future Life Institute. https://artificialintelligenceact.eu
Kop, M.: EU artificial intelligence act: the European approach to AI. Stanford-Vienna Transatlantic Technology Law Forum, Transatlantic Antitrust …, (Year)
Siegmann, C., Anderljung, M.: The Brussels effect and artificial intelligence: how EU regulation will impact the global AI market. arXiv preprint arXiv:2208.12645 (2022)
Mueller, B.: How much will the artificial intelligence act cost Europe? Inf. Technol. Innov. Found. (2021)
Mayson Hayes & Curran. https://www.mhc.ie/hubs/the-eu-artificial-intelligence-act/eu-ai-act-who-is-affected
Jha, A.K., Bose, I.: A framework for addressing data privacy issues in e-governance projects. J. Inf. Priv. Secur. 9, 18–33 (2013)
Rikap, C., Lundvall, B.-Å.: Digital Innovation Race. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-89443-6
Haataja, M., Bryson, J.J.: What costs should we expect from the EU’s AI Act? Center for Open Science (2021)
Renda, A.F., et al.: Study to support an impact assessment of regulatory requirements for Artificial Intelligence in Europe. European Commission (2021)
Department of Enterprise, Trade and Employment. https://www.gov.ie/en/press-release/d14e0-minister-coveney-announces-the-establishment-of-two-of-irelands-new-european-digital-innovation-hubs/
Rai, V.K., Mehta, S., Chandak, P., Jha, A.K., Puvvala, A.: System and method for multi-layered monitoring and control for dynamic situation handling for production support. In: Office, U.S.P.a.T. (ed.) U.S. Patent and Trademark Office, vol. 9,946,987. United States of America (2018)
Saunders, M., Lewis, P., Thornhill, A.: Research Methods for Business Students. Pearson Education, Harlow (2019)
Braun, V., Clarke, V.: Using thematic analysis in psychology. Qual. Res. Psychol. 3, 77–101 (2006)
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Jha, A.K., Leahy, E. (2024). The European Union’s Artificial Intelligence Act: An Analysis of Preliminary Perceptions and Responses of Irish SMEs. In: Sharma, S.K., Dwivedi, Y.K., Metri, B., Lal, B., Elbanna, A. (eds) Transfer, Diffusion and Adoption of Next-Generation Digital Technologies. TDIT 2023. IFIP Advances in Information and Communication Technology, vol 697. Springer, Cham. https://doi.org/10.1007/978-3-031-50188-3_2
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