Yapay zekâ korkusu ölçeğinin Türkçe’ye uyarlanması

Year 2024, Volume: 14 Issue: 2, 554 - 567, 19.06.2024

Feridun Kaya , Okan Yetişensoy , Fatih Aydın , Meva Demir Kaya

https://doi.org/10.48146/odusobiad.1264103

Abstract

Bu araştırmanın amacı Yapay Zekâ Korkusu Ölçeğinin (YZKÖ) Türkçe’ ye uyarlanmasıdır. Araştırmanın çalışma grubunu yaşları 18 ile 45 arasında (Ort.= 22.84, SS = 6.55) olan 175’i (% 61.4) kadın, 110’u (% 38.6) erkek toplam 285 yetişkin bireyden meydana gelmektedir. Kişisel Bilgi Formu, Yapay Zekâ Korkusu Ölçeği ve Yapay Zekâ Kaygısı Ölçeği veri toplama aracı olarak kullanılmıştır. Faktör yapısını inceleme amacıyla Doğrulayıcı Faktör Analizi (DFA) kullanılmıştır. Ayrıca, ölçüt bağıntılı geçerliği test etmek amacıyla Pearson korelasyon analizlerinden yararlanılmıştır. DFA sonuçları, Türk örneklemi üzerinde Yapay Zekâ Korkusu Ölçeğinin dört boyutlu yapısının uyum iyiliğine dair yeterli kanıtlar sunduğunu ortaya çıkarmıştır (χ2 = 71.04, Sd = 48, χ²/Sd = 1.48, NFI = .997, CFI = .998, RMSEA = .041 ve SRMR = .039). Ölçüt bağıntılı geçerlik için sonuçlar yapay zekâ kaygısı ile YZKÖ’nün Tanımlama alt boyutu arasında (r = .13, p < .05), Tahmin alt boyutu arasında (r = .20, p < .01), Tavsiye alt boyutu arasında (r = .19, p < .01) ve Karar Verme alt boyutu arasında (r = .19, p < .01) pozitif yönde anlamlı ilişkilerin olduğunu göstermiştir. Son olarak, güvenirlik analizleri iç tutarlık katsayısını Tanımlama alt boyutu için α = .76, Tahmin alt boyutu için α = .83, Tavsiye alt boyutu için α = .81 ve Karar Verme alt boyutu için α = .74 olarak ortaya çıkarmıştır. Elde edilen bulgular alanyazın ışığında tartışılmıştır.

Keywords

Yapay Zekâ, Korku, Yapay Zekâ Korkusu, Ölçek, Uyarlama

Adapting the Threats of Artificial Intelligence Scale to Turkish

Abstract

The present study aims to adapt the Threats of Artificial Intelligence Scale (TAIS) to Turkish. The study group consists of 285 adults, 175 (61.4%) females and 110 (38.6%) males, aged between 18 and 45 (Mean = 22.84, SD = 6.55). The Personal Information Form, the Threats of Artificial Intelligence Scale, and the Artificial Intelligence Anxiety Scale were used as data collection tools. Confirmatory Factor Analysis (CFA) was used to investigate the factorial structure. In addition, Correlation Analysis was utilized to test the criterion-related validity. CFA revealed that the four-dimensional structure of the Threats of Artificial Intelligence Scale provided sufficient evidence of the goodness of fit on the Turkish sample (χ2 = 71.04, df = 48, χ²/df = 1.48, NFI = .997, CFI = .998, RMSEA = .041 and SRMR = .039). For criterion-related validity, results showed that, significant positive correlations were found between artificial intelligence anxiety and the TAIS’s Recognition subscale (r = .13, p < .05), the Prediction subscale (r = .20, p < .01), the Recommendation subscale (r = .19, p < .01) and the Decision-Making subscale (r = .19, p < .01). Lastly, reliability analyses revealed that the internal consistency coefficient was α = .76 for the Recognition subscale, α = .83 for the Prediction subscale, α = .81 for the Recommendation subscale and α = .74 for the Decision-Making subscale. The findings were discussed in light of the literature.

Keywords

Artificial Intelligence, Fear, Fear from Artificial Intelligence, Scale, Adaptation

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