Last update:
   05-Jul-2026
 

Arch Hellen Med, 43(5), September-October 2026, 646-650

ORIGINAL PAPER

Artificial Intelligence Attitude Scale Translation and validation in Greek

A. Katsiroumpa,1 I. Moisoglou,2 P. Gallos,3 O. Galani,3 M. Tsiachri,1 P. Lialiou,4 O. Konstantakopoulou,1 K. Lamprakopoulou,5 P. Galanis1
1Laboratory of Clinical Epidemiology, Faculty of Nursing, National and Kapodistrian University of Athens, Athens
2Faculty of Nursing, University of Thessaly, Larissa
3Faculty of Nursing, University of West Attica, Athens, Attica
4Laboratory of Computational Biomedicine Research, Department of Digital Systems, University of Pireus, Pireus
5Laboratory of Embedded Systems Design & Applications, Department of Electrical & Computer Engineering, University of Peloponnese, Patras, Greece

OBJECTIVE To translate and validate the Artificial Intelligence Attitude Scale (AIAS-4) in a sample of the general population in Greece.

METHOD We employed the forward-backward method to translate and adapt the AIAS-4 in Greek language. We examined the reliability of the AIAS-4 by calculating Cronbach's alpha. Also, we performed a test-retest study to examine the reliability of the AIAS-4 by calculating the intraclass correlation coefficient. We examined the construct validity of the AIAS-4 by performing confirmatory factor analysis. We examined the concurrent validity of the AIAS-4 using the Attitudes Towards Artificial Intelligence Scale (ATAI) and the Short Trust in Automation Scale (S-TIAS).

RESULTS We found that the AIAS-4 demonstrated very good reliability, since the intraclass correlation coefficient for the testretest was 0.972 (95% confidence interval [CI]=0.940 to 0.986, p<0.001). Moreover, Cronbach's coefficient alpha for the AIAS-4 was 0.920. The Greek version of the AIAS-4 had a one-factor structure as the original version. All indices indicated an acceptable one-factor model. In particular, x2/df was 1.108, RMSEA was <0.001, GFI was 0.995, AGFI was 0.973, TLI was 1.000, IFI was 1.000, NFI was 0.996, and CFI was 1.000. Concurrent validity of the Greek version of the AIAS-4 was very good since we found statistically significant correlation between the AIAS-4 and the ATAI (acceptance scale: r=0.759, p<0.001; fear scale: r=-0.161, p=0.102), and the S-TIAS (r=0.581, p<0.001).

CONCLUSIONS The Greek version of the AIAS-4 is a reliable and valid tool to measure attitudes towards artificial intelligence in the general population.

Key words: Artificial intelligence, Artificial Intelligence Attitude Scale, Greek, Reliability, Validity.

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