Ethical and regulatory challenges amid artificial intelligence development: an outline of the issue
DOI:
https://doi.org/10.12775/EiP.2023.017Keywords
Artificial Intelligence (AI), AI regulations, AI ethics, regulatory competitionAbstract
Motivation: The Fourth Industrial Revolution brings with it numerous challenges for society, business and government. Its nature and pace is dictated by the increasing use of artificial intelligence (AI) technologies. The acquisition, collection, analysis, processing and informed use of data, as well as the continued development of artificial intelligence algorithms, are becoming the basis for the development of modern economies. However, its implementation is associated with a number of opportunities as well as threats. The way and extent to which artificial intelligence-based technologies are used requires constant attention, the basis of which is an appropriate regulatory system.
Aim: The purpose of the paper is indicating and discussing selected challenges facing people and institutions responsible for creating regulations regarding the use and implementation of artificial intelligence. The regulators should , therefore, find a proper balance between innovation and credibility.
Results: The analysis of the available literature allows to indicate at least 3 important challenges facing regulators: these are providing a precise definition of AI, ethical threats and competition in terms of creating suitable regulations regarding AI. The European Union has developed regulations on artificial intelligence with respect for freedom and human rights. This is a different approach from other regions of the world, including regulations established in the US or China.
References
Acemoglu, D., Hazell, J., & Restrepo, P. (2021). AI and jobs: evidence from online vacancies. NBER Working Paper, 28257, 1–53.
AI HLEG. (2019). Ethics Guidelines for Trustworthy AI. Retrieved 11.09.2022 from https://ec.europa.eu/newsroom/dae/document.cfm?doc_id=60419.
Asaro, P.M. (2019). AI ethics in predictive policing: from models of threat to an ethics of care. IEEE Technology and Society Magazine, 38(2), 40–53. https://doi.org/10.1109/MTS.2019.2915154.
Bellman, R.E. (1978). An introduction to artificial intelligence: can computers think. Boyd & Fraser Publishing Company.
Bennett, C.J., & Raab, C.D. (2017). The governance of privacy: policy instruments in global perspective. Routledge.
Bickley, S.J., Chan, H.F., & Torgler, B. (2022). Artificial intelligence in the field of economics. Scientometrics, 127, 2055–2084. https://doi.org/10.1007/s11192-022-04294-w.
Brynjolfsson, E., Rock, D., & Syverson, C. (2019). Artificial intelligence and the modern productivity paradox: a clash of expectations and statistics. In A. Agrawal, J. Gans, & A. Goldfarb (Eds.), The economics of artificial intelligence: an agenda (pp. 23–60). University of Chicago Press. https://doi.org/10.7208/9780226613475-003.
Brynjolfsson, E., Rock, D., & Syverson, C. (2021). The productivity J-curve: how intangibles complement general purpose technologies. American Economics Journal: Macroeconomics, 13(1), 333–372. https://doi.org/10.1257/mac.20180386.
Buhmann, A., & Fieseler, C. (2021). Towards a deliberative framework for responsible innovation in artificial intelligence. Technology in Science, 64, 101475. https://doi.org/10.1016/j.techsoc.2020.101475.
Calvano, E., Calzolari, G., Denicolò, V., Harrington, J.E., & Pastorello, S. (2020). Protecting consumers from collusive prices due to AI. Science, 370(6520), 1040–1042. https://doi.org/10.1126/science.abe3796.
Chalmers, D., MacKenzie, N.G., & Carter, S. (2020). Artificial intelligence and entrepreneurship: implications for venture creation in the fourth industrial revolution. Entrepreneurship Theory and Practice, 45(5), 1028–1053. https://doi.org/10.1177/1042258720934581.
Collins, C., Dennehy, D., Conboy, K., & Mikalef, P. (2021). Artificial intelligence in information systems research: a systematic literature review and research agenda. International Journal of Information Management, 60, 102383. https://doi.org/10.1016/j.ijinfomgt.2021.102383.
De Felice, F., Petrillo, A., De Luca, C., Baffo, I. (2022). Artificial intelligence or augmented intelligence: impact on our lives, rights and ethics. Procedia Computer Science, 200, 1846–1856. https://doi.org/10.1016/j.procs.2022.01.385.
Engelmore, R.S. (1987). Artificial intelligence and knowledge based systems: origins, methods and opportunities for NDE. In D.O. Thompson, & D.E. Chimenti (Eds,), Review of progress in quantitative nondestructive evaluation, 6A, 1–20. Springer. https://doi.org/10.1007/978-1-4613-1893-4_1.
European Commission. (2018). Communication from the Commission to the European Parliament, the european council, the Council, the European Economic and Social Committee and the Committee of the Regions: artificial intelligence for Europe (COM/2018/237).
European Commission. (2021a). Coordinated plan on artificial intelligence. Retrieved 11.09.2022 from https://t.ly/1qAM.
European Commission. (2021b). Proposal for a regulation of the European Parliament and of the Council laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) and amending certain Union legislative acts (COM/2021/206).
Eurostat. (2022). Eurostat database. Retrieved 11.09.2022 from https://ec.europa.eu/eurostat/data/database.
Executive Office of the President. (2019). Maintaining American leadership in artificial intelligence. Federal Register, 84(31), 3967–3972. Retrieved 11.09.2022 from https://www.govinfo.gov/content/pkg/FR-2019-02-14/pdf/2019-02544.pdf.
Farboodi, M., Mihet, R., Philippon, T., & Veldkamp, L. (2019). Big data and firm dynamics. AEA Papers and Proceedings, 109, 38–42 https://doi.org/10.1257/pandp.20191001.
Feldstein, S. (2019). The road to digital unfreedom: how artificial intelligence is reshaping repression. Journal of Democracy, 30(1), 40–52.
Frey, C.B., & Osborne, M.A. (2017). The future of employment: how susceptible are jobs to computerisation. Technological Forecasting and Social Change, 114, 254–280. https://doi.org/10.1016/j.techfore.2016.08.019.
Fukuda-Parr, S., & Gibbons, E. (2021). Emerging consensus on “ethical AI”: human rights critique of stakeholder guidelines. Global Policy, 12(S6), 32–44. https://doi.org/10.1111/1758-5899.12965.
Gasser, U., & Almeida, V.A.F. (2017). A layered model for AI governance. IEEE Internet Computing, 21(6), 58–62. https://doi.org/10.1109/mic.2017.4180835.
Gerards, J. (2019). The fundamental rights challenges of algorithms. Netherlands Quarterly of Human Rights, 37(3), 205–209. https://doi.org/10.1177/0924051919861773.
Gillespie, T. (2020). Content moderation, AI, and the question of scale. Big Data and Society, 7(2). https://doi.org/10.1177/2053951720943234.
Goldfarb, A., Taska, B., & Teodoridis, F. (2020). Artificial intelligence in health care: evidence from online job postings. AEA Papers and Proceedings, 110, 400–404. https://doi.org/10.1257/pandp.20201006.
Gorwa, R., Binns, R., & Katzenbach, C. (2020). Algorithmic content moderation: technical and political challenges in the automation of platform governance. Big Data and Society, 7(1). https://doi.org/10.1177/2053951719897945.
Hardyns, W., & Rummens, A. (2018). Predictive policing as a new tool for law enforcement: recent developments and challenges. European Journal on Criminal Policy and Research, 24(3), 201–218. https://doi.org/10.1007/s10610-017-9361-2.
Kennedy, R. (2021). The ethical implications of lawtech. In D. Dennehy, A. Griva, N. Pouloudi, Y.K. Dwivedi, I. Pappas, & M. Mäntymäki (Eds.), Responsible AI and analytics for an ethical and inclusive digitized society, 12896, 198–207. Springer. https://doi.org/10.1007/978-3-030-85447-8_18.
Koniakou, V. (2022). From the “rush to ethics” to the “race for governance” in artificial intelligence. Information Systems Frontiers, 25, 71–102 https://doi.org/10.1007/s10796-022-10300-6.
Kuziemski, M., & Misuraca, G. (2020). AI governance in the public sector: three tales from the frontiers of automated decision-making in democratic settings. Telecommunication Policy, 44(6), 101976. https://doi.org/10.1016/j.telpol.2020.101976.
Latonero, M. (2018). Governing artificial intelligence: upholding human rights & dignity. Retrieved 01.09.2022 from https://datasociety.net/wp-content/uploads/2018/10/DataSociety_Governing_Artificial_Intelligence_Upholding_Human_Rights.pdf.
Lee, Y.S., Kim, T., Choi, S., & Kim, W. (2022). When does AI pay off: AI-adoption intensity, complementary investments, and R&D strategy. Technovation, 118, 102590. https://doi.org/10.1016/j.technovation.2022.102590.
Leib, M., Köbis, N.C., Rilke, R.M., Hagens, M., & Irlenbusch, B. (2021). The corruptive force of AI generated advice. arXiv:2102.07536. https://doi.org/10.48550/arXiv.2102.07536.
Lucero, K. (2019). Artificial intelligence regulation and China’s future. Columbia Journal of Asian Law, 33(1), 94–171. https://doi.org/10.7916/cjal.v33i1.5454.
McCarthy, J., Minsky, M.L., Rochester, N., & Shannon, C.E. (2006). A proposal for the Dartmouth Summer Research Project on artificial intelligence, August 31, 1955. AI Magazine, 27(4), 12–14. https://doi.org/10.1609/aimag.v27i4.1904.
McKinsey Global Institute. (2018). Notes from the AI frontier: modelling the impact of ai on the world economy. Retrieved 10.09.2022 https://t.ly/7myh.
Nowakowski, M., & Waliszewski, K. (2022). Sztuczna inteligencja w problematyce modeli oceny ryzyka w instytucjach finansowych z perspektywy prawno-regulacyjnej. Journal of Finance and Financial Law, 1(33), 119–141. https://doi.org/10.18778/2391-6478.1.33.07.
OECD. (2017). OECD science, technology and industry scoreboard 2017: the digital transformation. https://doi.org/10.1787/9789264268821-en.
PwC. (2018). The macroeconomic impacts of artificial intelligence. Retrieved 05.09.2022 from https://www.pwc.co.uk/economic-services/assets/macroeconomic-impact-of-ai-technical-report-feb-18.pdf.
Radu, R. (2021). Steering the governance of artificial intelligence: national strategies in perspective. Policy and Society, 40(2), 178–193. https://doi.org/10.1080/14494035.2021.1929728.
Rai, A., Constantinides, P., & Sarker, S. (2019). Next-generation digital platforms: towards human-AI hybrids. MIS Quarterly, 43(1), iii–ix.
Raso, F., Hilligoss, H., Krishnamurthy, V., Bavitz, C., & Levin, K. (2018). Artificial intelligence & human rights: opportunities & risks. Retrieved: 10.09.2022 from http://nrs.harvard.edu/urn-3:HUL.InstRepos:38021439.
Russel, S., & Norvig, P. (2020). Artificial intelligence: a modern approach (4th ed.). Prentice Hall.
Scherer, M.U. (2016). Regulating artificial intelligence systems: risks, challenges, competences and strategies. Harvard Journal of Law & Technology, 29(2), 353–400. https://dx.doi.org/10.2139/ssrn.2609777.
Schiff, D.S., Laas, K., Biddle, J.B., & Borenstein, J. (2022). Global AI ethics documents: what they reveal about motivations, practices, and policies. In K. Laas, M. Davis, & E. Hildt (Eds.), Codes of ethics and ethical guidelines (pp. 121–143). Springer. https://doi.org/10.1007/978-3-030-86201-5_7.
Smuha, N.A. (2021). From a “race to AI” to a “race to AI regulation”: regulatory competition for artificial intelligence. Law, Innovation and Technology, 13(1), 57–84. https://doi.org/10.1080/17579961.2021.1898300.
Stahl, B.C., Andreou, A., Brey, P., Hatzakis, T., Kirichenko, A., Macnish, K., Laulhé Shaelou, S., Patel, A., Ryan, M., & Wright, D. (2021a). Artificial intelligence for human flourishing: beyond principles for machine learning. Journal of Business Research, 124, 374–388. https://doi.org/10.1016/j.jbusres.2020.11.030.
Stahl, B.C., Antoniou, J., Ryan, M., Macnish, K., & Jiya, T. (2021b). Organisational responses to the ethical issues of artificial intelligence. AI and Society, 37, 23–37. https://doi.org/10.1007/s00146-021-01148-6.
State Council of the People’s Republic of China. (2017). New Generation Artificial Intelligence Development Plan. Retrieved 02.09.2022 from http://www.gov.cn/zhengce/content/2017-07/20/content_5211996.htm.
Stuurman, K., & Lachaud, E. (2022). Regulating AI: a label to complete the proposed Act on Artificial Intelligence. Computer Law and Security Review, 44, 105657. https://doi.org/10.1016/j.clsr.2022.105657.
Szczepański, M. (2019). Economic impacts of artificial intelligence (AI). Retrieved 10.09.2022 from https://www.europarl.europa.eu/RegData/etudes/BRIE/2019/637967/EPRS_BRI(2019)637967_EN.pdf.
Taeihagh, A. (2021). Governance of artificial intelligence. Policy and Society, 40(2), 137–157. https://doi.org/10.1080/14494035.2021.1928377.
Uchwała nr 196 Rady Ministrów z dnia 28 grudnia 2020 r. w sprawie ustanowienia „Polityki dla rozwoju sztucznej inteligencji w Polsce od roku 2020”: załącznik [Resolution No. 196 of the Council of Ministers of December 28, 2020 on the establishment of the “Policy for the development of artificial intelligence in Poland from 2020”: attachment] (M.P. 2021 poz. 23) (Poland).
Yaroshenko, O., Melnychuk, N.O., Zhygalkin, I.P., Silchenko, S.O., & Zaikas, D.I. (2022). Problems of legal regulation of artificial intelligence in labor law pf development countries. Informatologia, 55(1–2), 160–169. https://doi.org/10.32914/i.55.1-2.13.
Završnik, A. (2020). Criminal justice, artificial intelligence systems, and human rights. ERA Forum, 20(4), 567–583. https://doi.org/10.1007/s12027-020-00602-0.
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