Exploring the Potentials and Pitfalls of Artificial Intelligence-Driven Decision-Making
DOI:
https://doi.org/10.54820/entrenova-2023-0009Klíčová slova:
artificial intelligence, decision-making, ethics of decision-makingAbstrakt
As artificial intelligence (AI) becomes more deeply implied in everyday life, it takes a more prominent role in decision-making in every industry. As Joseph Fuller, a professor of management practice at Harvard Business School, said: “Virtually every big company now has multiple AI systems and counts the deployment of AI as integral to their strategy.” Implicitly, decision-making capabilities are incorporated into their products; consequently, ethical concerns also gain importance. This paper presents some of the most critical issues of using AI in everyday decision-making. Starting from the three main concepts of AI, decision-making and ethics, it is a philosophical approach to the issues and biases raised by AI's overwhelming spread in everyday life.
Reference
Bughin, J., Seong, J., Manyika, J., Chui, M., & Joshi, R. (2018). Notes from the AI Frontier: Modeling the Impact of AI on the World Economy. McKinsey & Company.
Chikán, A. (2008). Vállalatgazdaságtan /Business Economy/ (4th revised & expanded ed.). AULA.
Chui, M., Issler, M., Roger, R., & Yee, L. (2023, 07 20). Technology Trends Outlook 2023. Retrieved 08 04, 2023, from McKinsey Digital: https://www.mckinsey.com/~/media/mckinsey/business%20functions/mckinsey%20digital/our%20insights/mckinsey%20technology%20trends%20outlook%202023/mckinsey-technology-trends-outlook-2023-v5.pdf
Forrester, J. W. (1965). Industrial Dynamics. Cambridge, Massachusetts: The M.I.T. Press.
Frankenfield, J. (2022, 06 06). Artificial Intelligence: What It Is and How It Is Used. https://www.investopedia.com/terms/a/artificial-intelligence-ai.asp
Futó, I. (1999). Előszó /Foreword/. In I. Futó (Ed.), Mesterséges intelligencia /Artificial Intelligence/. Budapest: Aula.
IBM. (2022, May). IBM Global AI Adoption Index 2022. https://www.ibm.com/downloads/cas/GVAGA3JP
IBM Cloud Education. (2021, 03 18). AI Ethics. IBM: https://www.ibm.com/cloud/learn/ai-ethics
IJSCP. (2023). Decision-making. (Longdom Publishing) Retrieved 02 18, 2023, from International Journal of School and Cognitive Psychology: https://www.longdom.org/peer-reviewed-journals/decisionmaking-27214.html
Kurzweil, R. (2005). The singularity is near: when humans trascend biology. Viking.
OECD. (2023). OECD Employment Outlook 2023: Artificial Intelligence and the Labour Market. (A. Bassanini, & S. Broecke, Eds.) https://www.oecd-ilibrary.org/employment/oecd-employment-outlook-2023_08785bba-en
Oracle. (2022). What is AI? Learn about Artificial Intelligence. https://www.oracle.com/artificial-intelligence/what-is-ai/
Pazzanese, C. (2020, 10 26). Great promise but potential for peril. https://news.harvard.edu/gazette/story/2020/10/ethical-concerns-mount-as-ai-takes-bigger-decision-making-role/
Resnikoff, J. (2021). Labor’s end: how the promise of automation degraded work. Urbana, Chicago and Springfield: University of Illinois Press.
Russell, S. J., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (Fourth ed.). Hoboken, NJ: Pearson Education, Inc.
Shanahan, M. (2015). The technological singularity. Massachusetts Institute of Technology.
Susskind, D. (2020). A World Without Work - Technology, Automation, and How We Should Respond. New York: Henry Holt and Co.
Ulam, S. (1958, May). John von Neumann 1903-1957. Bulletin of the American Mathematical Society, 64(3)
Winston, P. H. (1993). Artificial Intelligence (Third ed.). Addison-Wesley
Stahování
Publikováno
Jak citovat
Číslo
Sekce
Licence
Copyright (c) 2024 Zoltan Zakota
Tato práce je licencována pod Mezinárodní licencí Creative Commons Attribution-NonCommercial 4.0.