Ethical implications and social impacts of integrating artificial intelligence into sustainability efforts

Kuzior, Aleksandra; Sira, Mariya; Brożek, Paulina

doi:10.29119/1641-3466.2023.176.20

Artykuł - szczegóły

Tytuł artykułu

Ethical implications and social impacts of integrating artificial intelligence into sustainability efforts

Autorzy

Kuzior Aleksandra , Sira Mariya , Brożek Paulina

Treść / Zawartość

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Identyfikatory

DOI

10.29119/1641-3466.2023.176.20

Warianty tytułu

Języki publikacji

Abstrakty

Purpose: The article undertakes a comprehensive investigation into the intricate network of ethical implications and societal impacts that ensue from the integration of artificial intelligence (AI) into initiatives geared towards promoting sustainability. The article seeks to elucidate the complex interplay between AI technologies and sustainability initiatives. Design/methodology/approach: The methodology of this article involves a systematic and thorough literature review process as well as analysis and generalization. Findings: The paper contributes to a nuanced understanding of the ethical and societal implications of integrating artificial intelligence into sustainability efforts, offering valuable insights. Originality/value: The paper holds value for researchers, policymakers, practitioners, and educators involved in artificial intelligence development, sustainability efforts, and ethical considerations.

Słowa kluczowe

artificial intelligence sustainability ethical implication social impact

sztuczna inteligencja zrównoważony rozwój implikacje etyczne wpływ społeczny

Wydawca

Wydawnictwo Politechniki Śląskiej

Czasopismo

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

Rocznik

2023

Tom

z. 176

Strony

333--346

Opis fizyczny

Bibliogr. 64 poz.

Twórcy

autor

Kuzior Aleksandra

aleksandra.kuzior@polsl.pl

Department of Applied Social Sciences, Faculty of Organization and Management, Silesian University of Technology

https://orcid.org/0000-0001-9764-5320

autor

Sira Mariya

mariya.sira@polsl.pl,

Department of Applied Social Sciences, Faculty of Organization and Management, Silesian University of Technology

https://orcid.org/0000-0002-9970-1549

autor

Brożek Paulina

paulina.joanna.brozek@gmail.com

JSofteris Company, Sosnowiec, Poland

Bibliografia

1. Bahrevar, R., Khorasani, K. (2021). Accountability and Transparency in AI Systems: A Public Policy Perspective. Retrieved from: https://www.concordia.ca/content/dam/ ginacody/research/spnet/Documents/BriefingNotes/AI/BN-105-The-role-oF-AI-Nov2021.pdf.
2. Bao, L., Krause, N.M., Calice, M.N., Scheufele, D.A., Wirz, C.D., Brossard, D., ., Xenos, M.A. (2022). Whose AI? How different publics think about AI and its social impacts. Computers in Human Behavior, 130, 107182. https://doi.org/10.1016/j.chb.2022.107182.
3. Bilan, S., Šuleř, P., Skrynnyk, O., Krajňáková, E., Vasilyeva, T. (2022). Systematic Bibliometric Review of Artificial Intelligence Technology in Organizational Management, Development, Change and Culture. Business: Theory and Practice, 23(1), 1-13. https://doi.org/10.3846/btp.2022.13204.
4. Bostrom, N., Yudkowsky, E. (2014). The ethics of artificial intelligence. In: The Cambridge Handbook of Artificial Intelligence (pp. 316-334). Cambridge University Press. https://doi.org/10.1017/cbo9781139046855.020.
5. Bracarense, N., Bawack, R., Wamba, S.F., Carillo, K. (2022). Artificial Intelligence and Sustainability: A Bibliometric Analysis and Future Research Directions. Pacific Asia Journal of the Association for Information Systems, 14(2). https://doi.org/10.17705/ 1pais.14209.
6. Bryson, J. (2019). Towards a New Enlightenment? A Transcendent Decade The Past Decade and Future of AI’s Impact on Society. Retrieved from: https://www.bbvaopenmind.com/wp-content/uploads/2019/02/BBVA-OpenMind-Joanna-J-Bryson-The-Past-Decade-and-Future-of-AI-Impact-on-Society.pdf.
7. Busuioc, M. (2020). Accountable Artificial Intelligence: Holding Algorithms to Account. Public Administration Review, 81(5). https://doi.org/10.1111/puar.13293
8. Chen, Y., Lyulyov, O., Pimonenko, T., Kwilinski, A. (2023). Green development of the country: Role of macroeconomic stability. Energy and Environment. https://doi.org/10.1177/0958305X231151679
9. Ciążela, H. (2006) Problemy i dylematy etyki odpowiedzialności globalnej. Warszawa: APS.
10. Ciążela, H. (2006). Etyka odpowiedzialności Hansa Jonasa a „trwały i zrównoważony rozwój” (Imperatywy i dylematy). Problemy Ekorozwoju, 1(2), 107-114.
11. Conklin, L., L'höte, E., O'shea, P., Smirnova, M., Fellow, R. (2021). August 2021 Communicating About the Social Implications of AI: A FrameWorks Strategic Brief In partnership with the MacArthur Foundation. Retrieved from: https://www.frameworksinstitute.org/wp-content/uploads/2021/10/ai-strategicbrief_10-2021.pdf.
12. Dzwigol, H., Trushkina, N., Kwilinski, A. (2021). The Organizational and Economic Mechanism of Implementing the Concept of Green Logistics. Virtual Economics, 4(2), 41-75. https://doi.org/10.34021/ve.2021.04.02(3).
1. Elliott, D., Soifer, E. (2022). AI Technologies, Privacy, and Security. Frontiers in Artificial Intelligence, 5. https://doi.org/10.3389/frai.2022.826737.
2. European Commission (2019). High-level expert group on artificial intelligence set up by the European Commission ethics guidelines for trustworthy AI. Retrieved from: https://www.europarl.europa.eu/cmsdata/196377/AI%20HLEG_Ethics%20Guidelines%2 0for%20Trustworthy%20AI.pdf.
3. European Parliament, Directorate-General for Parliamentary Research Services, Fox-Skelly, J., Bird, E., Jenner, N. et al. (2020). The ethics of artificial intelligence : issues and initiatives. European Parliament. Retrieved from: https://data.europa.eu/doi/10.2861/6644.
4. European Union Agency for Fundamental Rights (2022). Bias in Algorithms - Artificial Intelligence and Discrimination. Luxembourg: Publications Office of the European Union. https://doi.org/10.2811/25847.
5. Francisco, M. (2023). Artificial intelligence for environmental security: national, international, human and ecological perspectives. Current Opinion in Environmental Sustainability, 61, 101250. https://doi.org/10.1016/j.cosust.2022.101250.
6. Galaz, V., Centeno, M.A., Callahan, P.W., Causevic, A., Patterson, T., Brass, I., Levy, K. (2021). Artificial intelligence, systemic risks, and sustainability. Technology in Society, 67, 101741. https://doi.org/10.1016/j.techsoc.2021.101741.
7. Genovesi, S., Mönig, J.M. (2022). Acknowledging Sustainability in the Framework of Ethical Certification for AI. Sustainability, 14(7), 4157. https://doi.org/10.3390/su14074157.
8. Hogenhout, L. (2021). A Framework for Ethical AI at the United Nations. Retrieved from: https://unite.un.org/sites/unite.un.org/files/unite_paper_-_ethical_ai_at_the_un.pdf.
9. Imran, A. (2022). Why addressing digital inequality should be a priority. The Electronic Journal Of Information Systems In Developing Countries. https://doi.org/10.1002/isd2.12255.
10. Jarosz, S. (2023). e-mentor: Artificial Intelligence - an agenda for management sciences. Retrieved from: https://www.e-mentor.edu.pl/mobi/artykul/index/numer/99/id/1603, August 5, 2023.
11. Kar, A.K., Choudhary, S.K., Singh, V.K. (2022). How can artificial intelligence impact sustainability: A systematic literature review. Journal of Cleaner Production, 376, 134120. https://doi.org/10.1016/j.jclepro.2022.134120.
12. Kochmańska, A. (2019). The concept of CSR as one of the determinants of sustainable development. Zeszyty Naukowe. Organizacja i Zarządzanie, 135, 87-97.
13. Kochmańska, A., Karwot. J. (2015). Działalność innowacyjna a wdrażanie do przedsiębiorstwa etycznych założeń zrównoważonego rozwoju. Zeszyty Naukowe. Organizacja i Zarządzanie, 85, 193-202.
14. Kuzior, A. (2007). Internet jako narzędzie budowania świadomości zrównoważonego rozwoju. Problemy ekorozwoju 2 (2), 95-101.
15. Kuzior, A. (2010). Polskie i niemieckie doświadczenia w projektowaniu i wdrażaniu zrównoważonego rozwoju [Polish and German Experiences in Planning and Implementation of Sustainable Development]. Problemy Ekorozwoju, 5, 81-89.
16. Kuzior, A. (2014). Aksjologia zrównoważonego rozwoju. Banska Bystrica: Belianum.
17. Kuzior, A. Development of competences key to sustainable development. Zeszyty Naukowe. Organizacja i Zarządzanie, 75, 71-81
18. Kuzior, A., Kettler, K., Rąb, Ł. (2021). Digitalization of Work and Human Resources Processes as a Way to Create a Sustainable and Ethical Organization. Energies, 15(1), 172. https://doi.org/10.3390/en15010172.
19. Kuzior, A., Kwilinski, A., Tkachenko, V. (2019). Sustainable development of organizations based on the combinatorial model of artificial intelligence. Entrepreneurship and Sustainability Issues, 7(2), 1353-1376. https://doi.org/10.9770/jesi.2019.7.2(39).
20. Kuzior, A., Lobanova, A. (2020). Tools of Information and Communication Technologies in Ecological Marketing under Conditions of Sustainable Development in Industrial Regions (Through Examples of Poland and Ukraine). Journal of Risk and Financial Management, 13(10), 238. https://doi.org/10.3390/jrfm13100238.
21. Kuzior, A., Postrzednik-Lotko, K.A., Postrzednik, S. (2022). Limiting of Carbon Dioxide Emissions through Rational Management of Pro-Ecological Activities in the Context of CSR Assumptions. Energies, 15(5), 1825. https://doi.org/10.3390/en15051825.
22. Kwilinski, A., Lyulyov, O., Pimonenko, T. (2023). Greenfield Investment as a Catalyst of Green Economic Growth. Energies, 16(5), 2372. https://doi.org/10.3390/en16052372.
23. Kwilinski, A., Tkachenko, V., Kuzior, A. (2019). Transparent Cognitive Technologies to Ensure Sustainable Society Development. Journal of Security and Sustainability Issues, 9(2), 561-570. https://doi.org/10.9770/jssi.2019.9.2(15)
24. Larsson, S., Heintz, F. (2020). Transparency in artificial intelligence. Internet Policy Review, 9(2). https://doi.org/10.14763/2020.2.1469.
25. Li, H.Y., An, J.T., Zhang, Y. (2021). Ethical Problems and Countermeasures of Artificial Intelligence Technology. E3S Web of Conferences, 251, 01063. https://doi.org/10.1051/ e3sconf/202125101063.
26. Loi, M., Spielkamp, M. (2021). Towards accountability in the use of Artificial Intelligence for Public Administrations. Retrieved from: https://algorithmwatch.org/en/wp-content/ uploads/2021/05/Accountability-in-the-use-of-AI-for-Public-Administrations-AlgorithmWatch-2021.pdf.
27. McKinsey & Company (2019). The ethics of artificial intelligence. Retrieved from: https://www.mckinsey.com/~/media/McKinsey/Featured%20Insights/Artificial%20Intelli gence/The%20ethics%20of%20artificial%20intelligence/The-ethics-of-artificial-intelligence-vF.pdf.
28. Microsoft Corporation (n.d.). How AI can enable a Sustainable Future. Retrieved from: https://pwc.co.uk/sustainability-climate-change/assets/pdf/how-ai-can-enable-a-sustainable-future.pdf.
29. Mikalef, P., Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Information & Management, 58(3), 103434. https://doi.org/10.1016/ j.im.2021.103434.
30. Mrówczyńska, M., Sztubecka, M., Skiba, M., Bazan-Krzywoszańska, A., Bejga, P. (2019). The Use of Artificial Intelligence as a Tool Supporting Sustainable Development Local Policy. Sustainability, 11(15), 4199. https://doi.org/10.3390/su11154199.
31. Myers, G., Nejkov, K. (2020). Developing Artificial Intelligence Sustainably: Toward a Practical Code of Conduct for Disruptive Technologies. EM Compass.
32. National Artificial Intelligence Research Resource Task Force (2023). Strengthening and Democratizing the U.S. Artificial Intelligence Innovation Ecosystem An Implementation Plan for a National Artificial Intelligence Research Resource. Retrieved from: https://www.ai.gov/wp-content/uploads/2023/01/NAIRR-TF-Final-Report-2023.pdf.
33. Oliver, N. (2022). Artificial intelligence for social good: the way forward. Retrieved from: https://research-and-innovation.ec.europa.eu/system/files/2022-07/ec_rtd_srip-2022-report-chapter-11.pdf.
34. Pedemonte, V. (2020). Vincent Pedemonte AI for Sustainability: An overview of AI and the SDGs to contribute to the European policy-making. Retrieved from: https://futurium.ec.europa.eu/sites/default/files/2020-09/vincent-pedemonte_ai-for-sustainability.pdf.
35. Postrzednik-Lotko, K. (2020). Instruments Supporting Sustainable Development. MAPE, 3(1), 596-605.
36. Rubin, V. (2020). AI Opaqueness: What Makes AI Systems More Transparent? Proceedings of the Annual Conference of CAIS. Actes Du Congres Annuel de L’ACSI. https://doi.org/10.29173/cais1139.
37. Sakiewicz, P., Piotrowski, K., Ober, J., Karwot, J. (2020). Innovative artificial neural network approach for integrated biogas - wastewater treatment system modelling: Effect of plant operating parameters on process intensification. Renewable and Sustainable Energy Reviews, 124, 109784. https://doi.org/10.1016/j.rser.2020.109784.
38. Schwartz, R., Vassilev, A., Greene, K., Perine, L., Burt, A., Hall, P. (2022). Towards a Standard for Identifying and Managing Bias in Artificial Intelligence. Towards a Standard for Identifying and Managing Bias in Artificial Intelligence. https://doi.org/10.6028/ nist.sp.1270.
39. Sholler, D., Macinnes, I. (2022). The economic impact of AI on employment and income disparities. 31st European Conference of the International Telecommunications Society (ITS): “Reining in Digital Platforms? Challenging Monopolies, Promoting Competition and Developing Regulatory Regimes”. Gothenburg, Sweden. Retrieved from: https://www.econstor.eu/bitstream/10419/265669/1/Sholler-and-MacInnes.pdf.
40. Skrynnyk, O., Lyeonov, S., Lenska, S., Litvinchuk, S., Galaieva, L., Radkevych, O. (2022). Artificial Intelligence in Solving Educational Problems. Journal of Information Technology Management, 14, 132-146. https://doi.org/10.22059/JITM.2022.88893.
41. Standford University Human-Centered Artificial Intelligence (2023). Sustainability and AI An initiative of HAI Industry Programs & Partnerships. Retrieved from: https://hai.stanford.edu/sites/default/files/2023-01/HAI_IndustryBrief6_v8.pdf.
42. Starchenko, L., Lyeonov, S., Vasylieva, T., Pimonenko, T., Lyulyov, O. (2021). Environmental management and green brand for sustainable entrepreneurship. E3S Web of Conferences, 234, 00015. https://doi.org/10.1051/e3sconf/202123400015.
43. Talan, A., Pathak, A.N., Tyagi, R.D. (2020). The Need, Role and Significance of Sustainability. Sustainability, 21-41. https://doi.org/10.1002/9781119434016.ch2.
44. The Economic Times (2023, April 25). AI and Privacy: The privacy concerns surrounding AI, its potential impact on personal data. The Economic Times. Retrieved from: https://economictimes.indiatimes.com/news/how-to/ai-and-privacy-the-privacy-concerns-surrounding-ai-its-potential-impact-on-personal-data/articleshow/99738234.cms?from=mdr.
45. The White House (2022). The Impact ofArtificial Intelligence on the Future of Workforces in the European Union and the United States of America. Retrieved from: https://www.whitehouse.gov/wp-content/uploads/2022/12/TTC-EC-CEA-AI-Report-12052022-1.pdf.
46. Tutak, M., Brodny, J., Siwiec, D., Ulewicz, R., Bindzár, P. (2020). Studying the level of sustainable energy development of the European Union countries and their similarity based on the economic and demographic potential. Energies, 13(24), 6643. https://doi.org/10.3390/en13246643.
47. United Nations Development Group (n.d.). Data privacy, ethics and protection guidance note on big data for achievement of the 2030 Agenda. Retrieved from: https://unsdg.un.org/sites/default/files/UNDG_BigData_final_web.pdf.
48. United Nations (2022). Digital technologies for a new future. Retrieved from: https://www.cepal.org/sites/default/files/publication/files/46817/S2000960_en.pdf.
49. Vasylieva, T., Lyulyov, O., Bilan, Y., Streimikiene, D. (2019). Sustainable economic development and greenhouse gas emissions: The dynamic impact of renewable energy consumption, GDP, and corruption. Energies, 12(17), 3289. https://doi.org/10.3390/ en12173289.
50. Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., .„, Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature Communications, 11(1). https://doi.org/10.1038/s41467-019-14108-y.
51. Wright, J. (2023, July 6). Sustainability in the Age of AI. Retrieved from: https://www.ibm.com/blog/sustainability-in-the-age-of-ai/, August 1, 2023.
52. Yadav, N.M., Singh, N.G. (2023). Environmental sustainability with artificial intelligence. EPRA International Journal of Multidisciplinary Research (IJMR), 9(5), 213-217. https://doi.org/10.36713/epra13325.

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