IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v10y2023i1d10.1057_s41599-023-01787-8.html
   My bibliography  Save this article

Impact of artificial intelligence on human loss in decision making, laziness and safety in education

Author

Listed:
  • Sayed Fayaz Ahmad

    (Institute of Business Management)

  • Heesup Han

    (Sejong University)

  • Muhammad Mansoor Alam

    (Riphah International University)

  • Mohd. Khairul Rehmat

    (Universiti Kuala Lumpur)

  • Muhammad Irshad

    (University of Gwadar)

  • Marcelo Arraño-Muñoz

    (Universidad de Playa Ancha)

  • Antonio Ariza-Montes

    (Universidad Loyola Andalucía)

Abstract

This study examines the impact of artificial intelligence (AI) on loss in decision-making, laziness, and privacy concerns among university students in Pakistan and China. Like other sectors, education also adopts AI technologies to address modern-day challenges. AI investment will grow to USD 253.82 million from 2021 to 2025. However, worryingly, researchers and institutions across the globe are praising the positive role of AI but ignoring its concerns. This study is based on qualitative methodology using PLS-Smart for the data analysis. Primary data was collected from 285 students from different universities in Pakistan and China. The purposive Sampling technique was used to draw the sample from the population. The data analysis findings show that AI significantly impacts the loss of human decision-making and makes humans lazy. It also impacts security and privacy. The findings show that 68.9% of laziness in humans, 68.6% in personal privacy and security issues, and 27.7% in the loss of decision-making are due to the impact of artificial intelligence in Pakistani and Chinese society. From this, it was observed that human laziness is the most affected area due to AI. However, this study argues that significant preventive measures are necessary before implementing AI technology in education. Accepting AI without addressing the major human concerns would be like summoning the devils. Concentrating on justified designing and deploying and using AI for education is recommended to address the issue.

Suggested Citation

  • Sayed Fayaz Ahmad & Heesup Han & Muhammad Mansoor Alam & Mohd. Khairul Rehmat & Muhammad Irshad & Marcelo Arraño-Muñoz & Antonio Ariza-Montes, 2023. "Impact of artificial intelligence on human loss in decision making, laziness and safety in education," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-01787-8
    DOI: 10.1057/s41599-023-01787-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-023-01787-8
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-023-01787-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K, 2019. "Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda," International Journal of Information Management, Elsevier, vol. 48(C), pages 63-71.
    2. Hair, Joe F. & Howard, Matt C. & Nitzl, Christian, 2020. "Assessing measurement model quality in PLS-SEM using confirmatory composite analysis," Journal of Business Research, Elsevier, vol. 109(C), pages 101-110.
    3. Di Vaio, Assunta & Palladino, Rosa & Hassan, Rohail & Escobar, Octavio, 2020. "Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review," Journal of Business Research, Elsevier, vol. 121(C), pages 283-314.
    4. David Mhlanga, 2021. "Artificial Intelligence in the Industry 4.0, and Its Impact on Poverty, Innovation, Infrastructure Development, and the Sustainable Development Goals: Lessons from Emerging Economies?," Sustainability, MDPI, vol. 13(11), pages 1-16, May.
    5. Woong Suh & Seongjin Ahn, 2022. "Development and Validation of a Scale Measuring Student Attitudes Toward Artificial Intelligence," SAGE Open, , vol. 12(2), pages 21582440221, May.
    6. Nadire Cavus & Yakubu Bala Mohammed & Mohammed Nasiru Yakubu, 2021. "Determinants of Learning Management Systems during COVID-19 Pandemic for Sustainable Education," Sustainability, MDPI, vol. 13(9), pages 1-23, May.
    7. Farrow, Elissa, 2022. "Determining the human to AI workforce ratio – Exploring future organisational scenarios and the implications for anticipatory workforce planning," Technology in Society, Elsevier, vol. 68(C).
    8. Nadir Khan & Muhammad Ibrahim & Muhammad Khalil Shahid, 2012. "Impact of On-Job Training on Performance of Telecommunication Industry," Journal of Social and Development Sciences, AMH International, vol. 3(2), pages 47-58.
    9. Ho, Manh-Tung & Mantello, Peter & Ghotbi, Nader & Nguyen, Minh-Hoang & Nguyen, Hong-Kong T. & Vuong, Quan-Hoang, 2022. "Rethinking technological acceptance in the age of emotional AI: Surveying Gen Z (Zoomer) attitudes toward non-conscious data collection," Technology in Society, Elsevier, vol. 70(C).
    10. Jack Leeming, 2021. "How AI is helping the natural sciences," Nature, Nature, vol. 598(7880), pages 5-7, October.
    11. Ragnar Fjelland, 2020. "Why general artificial intelligence will not be realized," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-9, December.
    12. Pomerol, Jean-Charles, 1997. "Artificial intelligence and human decision making," European Journal of Operational Research, Elsevier, vol. 99(1), pages 3-25, May.
    13. Peter J Jordan & Ashlea C Troth, 2020. "Common method bias in applied settings: The dilemma of researching in organizations," Australian Journal of Management, Australian School of Business, vol. 45(1), pages 3-14, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hui Hu & Yuqi Zhu & Chien-Chiang Lee & Alastair M. Morrison, 2023. "The effects of foreign product demand-labor transfer nexus on human capital investment in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bosse, Douglas & Thompson, Steven & Ekman, Peter, 2023. "In consilium apparatus: Artificial intelligence, stakeholder reciprocity, and firm performance," Journal of Business Research, Elsevier, vol. 155(PA).
    2. Nam, Jinyoung & Jung, Yoonhyuk & Kim, Junghwan, 2024. "Understandings of the AI business ecosystem in South Korea: AI startups’ perspective," Telecommunications Policy, Elsevier, vol. 48(6).
    3. Peter Ansu-Mensah, 2021. "Green product awareness effect on green purchase intentions of university students’: an emerging market’s perspective," Future Business Journal, Springer, vol. 7(1), pages 1-13, December.
    4. Behera, Rajat Kumar & Bala, Pradip Kumar & Rana, Nripendra P. & Kizgin, Hatice, 2022. "Cognitive computing based ethical principles for improving organisational reputation: A B2B digital marketing perspective," Journal of Business Research, Elsevier, vol. 141(C), pages 685-701.
    5. Pietronudo, Maria Cristina & Croidieu, Grégoire & Schiavone, Francesco, 2022. "A solution looking for problems? A systematic literature review of the rationalizing influence of artificial intelligence on decision-making in innovation management," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    6. Adamu Pantamee Abdurrahman & Shafi Mohamad & Amena Sibghatullah & Ooi Chee Keong & Vu Minh Hieu & Putri Mutira, 2022. "Role of Corporate Social and Environmental Responsibilities in addressing Sustainable Development Goals: Evidence from Malaysian Manufacturing Firms," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 247-256, May.
    7. Dydrov, Artur (Дыдров, Артур), 2023. "Artificial Intelligence: Mythologies Of Western Scientific Content [Искусственный Интеллект: Мифологемы Западного Научного Контента]," Sotsium i vlast / Society and power, Russian Presidential Academy of National Economy and Public Administration, pages 16-25.
    8. Manzi-Puertas, Mario A. & Agirre-Aramburu, Izaskun & López-Pérez, Sain, 2024. "Navigating the student entrepreneurial journey: Dynamics and interplay of resourceful and innovative behavior," Journal of Business Research, Elsevier, vol. 174(C).
    9. Araz Zirar, 2023. "Can artificial intelligence’s limitations drive innovative work behaviour?," Review of Managerial Science, Springer, vol. 17(6), pages 2005-2034, August.
    10. Nam, Jinyoung & Kim, Junghwan & Jung, Yoonhyuk, 2023. "Understandings of the AI business ecosystem in South Korea: AI startups' perspective," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 278005, International Telecommunications Society (ITS).
    11. Carmen Isensee & Kai-Michael Griese & Frank Teuteberg, 2021. "Sustainable artificial intelligence: A corporate culture perspective [Sustainable artificial intelligence: Eine unternehmenskulturelle Perspektive]," Sustainability Nexus Forum, Springer, vol. 29(3), pages 217-230, December.
    12. Gilbert Giacomoni, 2022. "Towards a general framework for innovation shaped with AI to create and transform market offerings [Vers un cadre général d’innovation façonné par l’IA pour créer et transformer les offres du march," Post-Print hal-04083376, HAL.
    13. Joon-ho Kim & Kwang-jin Kim & Bum-tae Park & Hyun-ju Choi, 2022. "The Phenomenon and Development of K-Pop: The Relationship between Success Factors of K-Pop and the National Image, Social Network Service Citizenship Behavior, and Tourist Behavioral Intention," Sustainability, MDPI, vol. 14(6), pages 1-30, March.
    14. Diane A. Isabelle & Mika Westerlund, 2022. "A Review and Categorization of Artificial Intelligence-Based Opportunities in Wildlife, Ocean and Land Conservation," Sustainability, MDPI, vol. 14(4), pages 1-22, February.
    15. Tachia Chin & Muhammad Waleed Ayub Ghouri & Jiyang Jin & Muhammet Deveci, 2024. "AI technologies affording the orchestration of ecosystem-based business models: the moderating role of AI knowledge spillover," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    16. Hayford Asare Obeng & Richard Arhinful & Leviticus Mensah & Jerry Seth Owusu-Sarfo, 2024. "Assessing the Influence of the Knowledge Management Cycle on Job Satisfaction and Organizational Culture Considering the Interplay of Employee Engagement," Sustainability, MDPI, vol. 16(20), pages 1-28, October.
    17. Henrik Skaug Sætra, 2021. "AI in Context and the Sustainable Development Goals: Factoring in the Unsustainability of the Sociotechnical System," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    18. Morais, Ana Catarina & Ishida, Akira & Matsuda, Ruriko, 2024. "Ethical food consumption drivers in Japan. A S–O-R framework application using PLS-SEM with a MGA assessment based on clustering," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    19. Kautish, Pradeep & Paço, Arminda & Thaichon, Park, 2022. "Sustainable consumption and plastic packaging: Relationships among product involvement, perceived marketplace influence and choice behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    20. Zhikun Ding & Xinyue Huang & Xinrui Wang & Qiaohui Chen & Jiasheng Zhang & Zezhou Wu, 2024. "Investigating the Determinants of Construction Stakeholders’ Intention to Use Construction and Demolition Waste Recycling Products Based on the S-O-R Model in China," Sustainability, MDPI, vol. 16(6), pages 1-17, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-01787-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.