DEVELOPMENT OF ARTIFICIAL INTELLIGENCE: ADVANTAGES AND DISADVANTAGES
Abstract
This article identifies the peculiarities of using AI technologies and highlights its main advantages and disadvantages. The history of the concept of “artifфicial intelligence” is studied and the role it plays in modern society is determined. The top innovative companies by the level of innovation implementation are studied in order to analyze the benefits of using AI in 2024, which integrate AI technologies into their activities the most, in terms of maximizing profits, and the positive impact of AI technologies on company profits is demonstrated on their example. It is determined that the innovation rating is headed by such companies as: ServiceNow, which introduces innovations by 89.22%, Workday with a share of 82.84%, and Salesforce.com – 82.27%. It is determined that the studied companies engaged in the creation of programs and promotion of AI took the lead in the ranking, since their activities are more than 80% driven by AI. The dynamics of net profit of Workday and Salesforce companies for 2018-2024 is analyzed. It is determined that the introduction of AI into business processes maximizes profits while reducing costs and downtime. The article depicts the implementation of the idea of artificial intelligence technologies in today's reality. The dynamics of the AI market in Ukraine in 2020-2023 are analyzed. The key advantages and disadvantages of using AI are highlighted. It is found that the main advantages are the creation of online medical consultants, financial analysts, chatbots, optimization technologies for the delivery of goods, analysis of consumer needs and increasing the profitability of companies through sales generation. It is noted that the key risks in AI are the risks of cyber threats, violation of human privacy on the Internet, distortion of information, and a possible threat to man as a rational being in terms of his complete replacement by AI. It is noted that AI cannot currently fully understand language, unlike humans who can translate machine language. It is substantiated that humanity needs to think about the shortcomings of AI, which can pose a real threat to human existence, because despite the advantages that AI provides us today, it can replace humans in all areas, and then human existence can be a threat to AI. The author draws conclusions about the peculiarities of using artificial intelligence.
References
Рассел С. Дж., Норвиг П. Штучний інтелект: сучасний підхід (3-є вид.). Верхня Седловина, Нью-Джерсі: Prentice Hall, 2009. 1152 с.
Hilb M. Toward Artificial Governance? The Role of Artificial Intelligence in Shaping the Future of Corporate Governance. Journal of Management and Governance. 2020. Vol. 24. P. 851–870.
Goralski M.A., Tan T.K. Artificial Intelligence and Sustainable Development. The International Journal of Management Education. 2020. Vol. 18. Is. 1. DOI: https://doi.org/10.1016/j.ijme.2019.100330 (дата звернення: 23.09.2024)
Soni N., Sharma E., Singh N., Kapoor A. Impact of Artificial Intelligence in Business: From Research and Innovation to Market Deployment. Procedia Computer Science. 2020. Vol. 167. P. 2200–2210.
Enholm I., Papagiannidis E., Mikalef P., Krogstie J. Artificial Intelligence and Business Value: A Literature Review. Information Systems Frontiers. 2021. DOI: https://doi.org/10.1007/s10796-021-10186-w (дата звернення: 23.09.2024)
Introduction to the AI Index Report 2023. 2024. URL: http://surl.li/nzgizh (дата звернення: 24.09.2024)
Artificial Intelligence Index Report 2024. 2024. URL: http://surl.li/lymxzu (дата звернення: 24.09.2024)
Russel S., Norvig P. Artificial Intelligence: A Modern Approach (Pearson Series in Artificial Intelligence). New York: Pearson. 2021.
Davenport T. H., Ronanki R. (2018). Artificial Intelligence for the Real World. Harvard Business Review.
Bughin J., Hazan E., Ramaswamy S., Chui M., Allas T., Dahlström P., Trench M. "Artificial Intelligence: The Next Digital Frontier?" McKinsey Global Institute. 2017.
Anant M. S., Wasif B. H. "Artificial Intelligence". IJRASET. Vol. 7, № 10. Рp. 1-7, 2022. DOI: https://doi.org/10.22214/ijraset.2022.4430. (дата звернення 24.09.2024)
Meskò B., Drobni Z., Bényei E., Gergely B., Gyorffy Z. "Digital health is a cultural transformation of traditional healthcare". Mhealth. 2017. Vol. 3. P. 38.
Wahl B., Cossy-Gantner A., Germann S., Schwalbe N.R. "Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?". BMJ Global Health, 2018. Vol. 3, Issue 4.
Gupta V., Chakraborty A., Singh D. "AI-based Cyber Security: An Overview of Recent Advancements, Opportunities and Challenges" in 2021 IEEE International Conference on Computing, Communication and Automation (ICCCA), 2021. Pp. 217–222.
Kairouz E., McMahan B., Avent A. "Advances and open problems in federated learning" in Proceedings of the 2nd Workshop on Open Problems in Network Security (iNetSec), 2019.
Shokri M., Stronati S., Song V. R. M. "Membership inference attacks against machine learning models" in IEEE Symposium on Security and Privacy, 2017. Pp. 3–18.
Дашко І.М., Михайліченко Л.В. Вплив технологій штучного інтелекту на ефективність діяльності підприємств. Міжнародний науковий журнал «Інтернаука». Серія: «Економічні науки». 2024. № 6. URL: https://www.inter-nauka.com/issues/economic2024/6/ (дата звернення: 25.09.2024)
Rassel S. Dzh. and Norvyh P. (2009). Artificial intelligence: a modern approach (3rd ed.). Upper Saddle River, New Jersey: Prentice Hall. Verkhnia Sedlovyna, Niu-Dzhersi: Prentice Hall. 1152 p. (in Ukrainian)
Hilb M. Toward Artificial Governance? (2020). The Role of Artificial Intelligence in Shaping the Future of Corporate Governance. Journal of Management and Governance. Vol. 24. P. 851–870.
Goralski M. A. and Tan T. K. (2020). Artificial Intelligence and Sustainable Development. The International Journal of Management Education. Vol. 18. Is. 1. DOI: https://doi.org/10.1016/j.ijme.2019.100330 (accessed: 23.09.2024)
Soni N., Sharma E., Singh N. and Kapoor A. (2020). Impact of Artificial Intelligence in Business: From Research and Innovation to Market Deployment. Procedia Computer Science. Vol. 167. P. 2200–2210.
Enholm I., Papagiannidis E., Mikalef P. and Krogstie J. (2021). Artificial Intelligence and Business Value: A Literature Review. Information Systems Frontiers. DOI: https://doi.org/10.1007/s10796-021-10186-w (accessed: 23.09.2024)
Introduction to the AI Index Report 2023 (2024). Available at: http://surl.li/nzgizh (accessed: 24.09.2024)
Artificial Intelligence Index Report 2024. (2024). Available at: http://surl.li/lymxzu (accessed: 24.09.2024)
Russel S. and Norvig P. (2021). Artificial Intelligence: A Modern Approach (Pearson Series in Artificial Intelligence). New York: Pearson.
Davenport T. H. and Ronanki R. (2018). Artificial Intelligence for the Real World. Harvard Business Review.
Bughin J., Hazan E., Ramaswamy S., Chui M., Allas T., Dahlström P. and Trench M. (2017). Artificial Intelligence: The Next Digital Frontier?. McKinsey Global Institute.
Anant M. S. and Wasif B. H. (2022). Artificial Intelligence. IJRASET. Vol. 7, № 10. Рp. 1–7. DOI: https://doi.org/10.22214/ijraset.2022.4430 (accessed: 24.09.2024)
Meskò B., Drobni Z., Bényei E., Gergely B. and Gyorffy Z. (2017). Digital health is a cultural transformation of traditional healthcare. Mhealth. Vol. 3. P. 38.
Wahl B., Cossy-Gantner A., Germann S. and Schwalbe N. R. (2018). Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings? BMJ Global Health. Vol. 3, Issue 4.
Gupta V., Chakraborty A. and Singh D. (2021). AI-based Cyber Security: An Overview of Recent Advancements, Opportunities and Challenges. Pp. 217–222.
Kairouz E., McMahan B. and Avent A. (2019). "Advances and open problems in federated learning" in Proceedings of the 2nd Workshop on Open Problems in Network Security (iNetSec).
Shokri M., Stronati S. and Song V. R. M. (2017). "Membership inference attacks against machine learning models" in IEEE Symposium on Security and Privacy. Pp. 3–18.
Dashko I.M., Mykhailichenko L.V. (2024). Vplyv tekhnolohii shtuchnoho intelektu na efektyvnist diialnosti pidpryiemstv [Influence of artificial intelligence technologies on the efficiency of enterprises]. International scientific journal “Internauka”. Issue 6. Available at: https://www.inter-nauka.com/issues/economic2024/6/ (accessed: 25.09.2024) (in Ukrainian)
This work is licensed under a Creative Commons Attribution 4.0 International License.
