ÇALIŞANLARIN YAPAY ZEKAYA (YZ) YÖNELİK DUYGULARININ İNCELENMESİ: NİTEL BİR ARAŞTIRMA
Yıl 2025,
Cilt: 27 Sayı: 1, 244 - 276
Gözde Dilara Can
,
Ebru Tolay
Öz
Bu çalışmanın amacı, çalışanların Yapay Zeka (YZ) için hissettikleri duyguları açığa çıkarmak ve YZ’nin gelecekteki gelişimi ve iş yaşamı üzerindeki olası etkileri konusundaki görüşlerini ve duygularını öğrenmektedir. Bu amaç doğrultusunda, tümevarım yaklaşımı ve fenomenoloji araştırma deseni ile nitel bir araştırma tasarladık. Amaçlı örnekleme yöntemlerinden ölçüt ve kartopu örnekleme yöntemlerini kullanarak farklı sektörlerde çalışan 20 katılımcı belirledik ve onlarla görüşmeler yaptık. Verileri MAXQDA 2024 programı kullanarak içerik analizine tabi tuttuk ve elde ettiğimiz kategoriler ve kodlar üzerinde betimsel ve ilişkisel analizler gerçekleştirdik. Katılımcıların YZ ile ilgili anılarından oluşan öykülerinde en sık rastlanan duygunun şaşkınlık olduğunu; ancak bir süre sonra duruma alıştıklarını ve kendilerini daha rahat hissederek YZ’yi kullandıklarını tespit ettik. Katılımcıların YZ’ye mutluluk, merak, hayranlık ve heyecan gibi olumlu hisler beslerken aynı zamanda endişe, korku, öfke, hayal kırıklığı ve güvensizlik de hissettiğini belirledik. Katılımcıları en fazla şaşırtan ve onları en mutlu eden faktörlerin, YZ’nin hayatı daha kolay ve elverişli hale getirmesi ve hızı sayesinde insanlara özel hayatları için daha fazla zaman kazandırması olduğunu; onları en fazla endişelendiren ve korkutan faktörlerin ise işsizliğin artması ve YZ’nin insanları tembelliğe itmesi olduğunu bulduk. Katılımcıların YZ’nin sağlık, çevre, ekonomi gibi alanlarda insanlık için çok büyük faydalar yaratacağı konusunda umutlu olmakla birlikte kontrolden çıkmasından, biyolojik, kimyasal ve teknolojik savaşlarda kullanılmasından ve kitlesel düzeyde işsizliğe yol açmasından ciddi düzeyde endişe ve korku duyduğunu saptadık.
Kaynakça
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EXAMINING EMPLOYEES’ EMOTIONS TOWARDS ARTIFICIAL INTELLIGENCE (AI): A QUALITATIVE RESEARCH
Yıl 2025,
Cilt: 27 Sayı: 1, 244 - 276
Gözde Dilara Can
,
Ebru Tolay
Öz
In this study, we aimed to investigate employees’ perspectives on artificial intelligence (AI) and understand their opinions and emotions regarding the future advancements of AI and its potential impacts on their work lives. We conducted a qualitative study using an inductive approach and a phenomenological research design. We employed purposive sampling methods to select 20 participants from various sectors for interviews to achieve this goal. We utilized content analysis with the MAXQDA 2024 program, followed by descriptive and relational analyses of the categories and codes we obtained. Our research showed that the most common emotion among participants regarding their encounters with AI was ‘astonishment.’ We discovered that the participants had mixed feelings towards AI, including positive emotions such as happiness, curiosity, admiration, and excitement, and negative emotions such as anxiety, fear, anger, frustration, and distrust. Our study showed that respondents were most surprised and happiest about how AI makes life easier and more convenient and how its speed gives people more time for their personal lives. Conversely, the factors that caused the most concern and fear among participants were the potential for mass unemployment due to AI and the risk of encouraging laziness in people. Many of them believe that AI has the potential to bring significant advantages to humanity, particularly in fields such as healthcare, the environment, and the economy. However, there is also a growing concern and fear around the possibility that AI could spiral out of control, be utilized in biological, chemical, and technological warfare, and result in widespread unemployment.
Etik Beyan
This article is based on Gözde Dilara CAN’s master’s thesis, “Investigation of Emotions Emerging in Artificial Intelligence-Human Interaction in Business Life with Qualitative Research Method,” which was supervised by Assoc. Prof. Dr. Ebru TOLAY. The research section of the article was enhanced using additional analysis techniques. The research was approved by Dokuz Eylul University’s Social and Human Sciences Scientific Research and Publication Ethics Committee on 15.09.2022, with approval number E-87347630-659-364703. The thesis was presented as an abstract paper at the 32nd National Management and Organization Congress hosted by Giresun University Faculty of Economics and Administrative Sciences on 23-25 May 2024 in Turkey.
Teşekkür
We want to thank Dr. Ceyda Ünal (Department of Management Information Systems, Dokuz Eylul University) for reviewing AI-related codes and Berat Bağbancı, a Psychologist and Neuroscience Expert, for reviewing emotion-related codes. Their contributions to the research were invaluable.
Kaynakça
- Agrawal, A., Gans, J. S., & Goldfarb, A. (2019). Artificial intelligence: The ambiguous labor market impact of automating prediction. Journal of Economic Perspectives, 33 (2), 31-50. https://doi.org/10.1257/jep.33.2.31
- Aktepe, Ş. & Karakulle, İ. (2023). The use of artificial intelligence in providing competitive advantage in businesses: The case of mobile applications of e-commerce sites. Fenerbahce University Journal of Social Sciences, 3 (1), 30-46. https://doi.org/10.58620/fbujoss.1287967
- APA, (2022). Anthropomorphism. Retrived from https://dictionary.apa.org/anthropomorphism. Accessed May 26, 2022.
- Azeez, N. A., Lawal, A. O., Misra, S. & Oluranti, J. (2022). Machine learning approach for identifying suspicious uniform resource locators (URLs) on reddit social network. African Journal of Science, Technology, Innovation and Development, 14 (6), 1618-1626. https://doi.org/10.1080/20421338.2021.1977087
- Baştan, S. (2003). Artificial intelligence, new communication technologies and organizational change: Towards the intelligent organization. Journal of Management and Economics, 10 (1), 187-203.
- Benbya, H., Davenport, T. H. & Pachidi, S. (2020). Artificial intelligence in organizations: Current state and future opportunities. MIS Quarterly Executive, 19 (4), 9-21. https://doi.org/10.2139/ssrn.3741983
- Borana, J. (2016, March). Applications of Artificial Intelligence & Associated Technologies. Proceeding of International Conference on Emerging Technologies in Engineering, Biomedical, Management and Science (ETEBMS), Jodhpur.
- Borau, S., Otterbring, T., Laporte, S. & Fosso Wamba, S. (2021). The most human bot: Female gendering increases humanness perceptions of bots and acceptance of AI. Psychology & Marketing, 38 (7), 1052–1068. https://doi.org/10.1002/mar.21480
- Borghi, M., & Mariani, M. M. (2022). The role of emotions in the consumer meaning-making of interactions with social robots. Technological Forecasting and Social Change, 182, 1-13. https://doi.org/10.1016/j.techfore.2022.121844
- Brock, J. K-U., & Von Wangenheim, F. (2019). Demystifying AI: What digital transformation leaders can teach you about realistic artificial intelligence. California Management Review, 61 (4), 110-134. https://doi.org/10.1177/1536504219865226
- Büyük, E. (2023). Yapay Zekâ Teknikleri ile Personel Seçimi ve Değerlendirilmesi (Yayınlanmamış Yüksek Lisans Tezi). Bursa: Uludağ Üniversitesi Fen Bilimleri Enstitüsü.
- Chiu, Y-T., Zhu, Y-Q. & Corbett, J. (2021). In the hearts and minds of employees: A model of pre-adoptive appraisal toward artificial intelligence in organizations. International Journal of Information Management. 60, 1-16. https://doi.org/10.1016/j.ijinfomgt. 2021.102379
- Christou, P., Simillidou, A. & Stylianou, M, C. (2020). Tourists’ perceptions regarding the use of anthropomorphic robots in tourism and hospitality. International Journal of Contemporary Hospitality Management, 32 (11), 3665-3683. https://doi.org/10.1108/IJCHM-05-2020-0423
- Creswell, J, W. (2021). Nitel araştırma yöntemleri: beş yaklaşıma göre nitel araştırma ve araştırma deseni (6th ed.). M. Bütün & S. B. Demir (Translation Eds.), Siyasal Akademi.
- Dastin, J. (2018). Amazon scraps secret AI recruiting tool that showed bias against women. Retrived from https://www.reuters.com/article/us-amazon-com-jobs-automation-%20insight-idUSKCN1MK08G/ Accessed December 22, 2021.
- Davis, J. L., Shank, D. B., Love, T. P., Stefanik, C., & Wilson, A. (2022). Gender dynamics in human-AI role-taking. In W. Kalkhoff, S.R. Thye, & E. J. Lawler (Eds.), Advances in Group Processes (Vol. 39, pp. 1-22). Emerald Publishing Limited Leeds.
- Dwivedi, Y, K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T. … & Williams, M, D. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management. 57, 1-47. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
- Ekman, P. & Cordaro, D. (2011). What is meant by calling emotions basic. Emotion Review, 3 (4), 364–370. https://doi.org/10.1177/1754073911410740
- Epley, N., Waytz, A. & Cacioppo, J, T. (2007). On seeing human: A three-factor theory of anthropomorphism. Psychological Review, 114 (4), 864–886. https://doi.org/10.1037/0033-295x.114.4.864
- Erkutlu, H. V, Erdemir Ergün, E., Köseoğlu, İ. & Vurgun, T. (2023). Artificial intelligence and organizational behavior. Nevşehir Hacı Bektaş Veli University Journal of ISS. 13 (3), 1403-1417. https://doi.org/10.30783/ nevsosbilen.1246678
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