Bao, L., Krause, N. M., Calice, M. N., Scheufele, D. A., Wirz, C. D., Brossard, D., Newman, T. P., Xenos, M. A., 2022. Whose AI? How different publics think about AI and its social impacts. Computers in Human Behavior, 130, 107182, DOI: 10.1016/j.chb.2022.107182
Bitkina, O. V., Jeong, H., Lee, B. C., Park, J [Jangwoon], Park, J [Jaehyun], Kim, H. K., 2020. Perceived trust in artificial intelligence technologies: A preliminary study. Human Factors and Ergonomics in Manufacturing & Service Industries, 30(4), 282–290, DOI: 10.1002/hfm.20839
Broussard, M., Diakopoulos, N., Guzman, A. L., Abebe, R., Dupagne, M., Chuan, C.- H., 2019. Artificial Intelligence and Journalism. Journalism & Mass Communication Quarterly, 96(3), 673–695, DOI: 10.1177/1077699019859901
Chan-Olmsted, S. M., 2019. A Review of Artificial Intelligence Adoptions in the Media Industry. International Journal on Media Management, 21(3-4), 193–215, DOI: 10.1080/14241277.2019.1695619
Chen, K., Zu, Y., Wang, D., 2021. Design and implementation of intelligent creation platform based on artificial intelligence technology. Journal of Computational Methods in Sciences and Engineering, 20(4), 1109–1126, DOI: 10.3233/JCM-204240
de-Lima-Santos, M.- F., Ceron, W., 2022. Artificial Intelligence in News Media: Current Perceptions and Future Outlook. Journalism and Media, 3(1), 13–26, DOI: 10.3390/journalmedia3010002
Dmitrieva, E., Balmiki, V., Lakhanpal, S., Lavanya, G., Bhandari, P., 2024. AI Evolution in Industry 4.0 and Industry 5.0: An Experimental Comparative Assessment. BIO Web of Conferences, 86, 1069, DOI: 10.1051/bioconf/20248601069
Gillath, O., Ai, T., Branicky, M. S., Keshmiri, S., Davison, R. B., Spaulding, R., 2021. Attachment and trust in artificial intelligence. Computers in Human Behavior, 115, 106607, DOI: 10.1016/j.chb.2020.106607
Gursoy, D., Chi, O. H., Lu, L., Nunkoo, R., 2019. Consumers acceptance of artificially intelligent (AI) device use in service delivery. International Journal of Information Management, 49, 157–169, DOI: 10.1016/j.ijinfomgt.2019.03.008
Hussain, I., Qureshi, M., Ismail, M., Iftikhar, H., Zywiołek, J., López-Gonzales, J. L., 2024. Optimal features selection in the high dimensional data based on robust technique: Application to different health database. Heliyon, 10(17), e37241, DOI: 10.1016/j.heliyon.2024.e37241
Kamble, S. S., Gunasekaran, A., Gawankar, S. A., 2018. Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection, 117, 408–425, DOI: 10.1016/j.psep.2018.05.009
Kareem Thajeel, I., Samsudin, K., Jahari Hashim, S., Hashim, F., 2023. Dynamic feature selection model for adaptive cross site scripting attack detection using developed multi-agent deep Q learning model. Journal of King Saud University - Computer and Information Sciences, 35(6), 101490, DOI: 10.1016/j.jksuci.2023.01.012
Kim, S., Kim, B., 2020. A Decision-Making Model for Adopting Al-Generated News Articles: Preliminary Results. Sustainability, 12(18), 7418, DOI: 10.3390/su12187418
Langer, M., Landers, R. N., 2021. The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers. Computers in Human Behavior, 123, 106878, DOI: 10.1016/j.chb.2021.106878
Lim, J. S., Zhang, J., 2022. Adoption of AI-driven personalization in digital news platforms: An integrative model of technology acceptance and perceived contingency. Technology in Society, 69, 101965, DOI: 10.1016/j.techsoc.2022.101965
McGrath, M. J., Duenser, A., Lacey, J., Paris, C., 2024, April 2. Collaborative human-AI trust (CHAI-T): A process framework for active management of trust in human-AI collaboration. http://arxiv.org/pdf/2404.01615
Paul, M., Maglaras, L., Ferrag, M. A., Almomani, I., 2023. Digitization of healthcare sector: A study on privacy and security concerns. ICT Express, 9(4), 571–588, DOI: 10.1016/j.icte.2023.02.007
Rožanec, J. M., Novalija, I., Zajec, P., Kenda, K., Tavakoli Ghinani, H., Suh, S., Veliou, E., Papamartzivanos, D., Giannetsos, T., Menesidou, S. A., Alonso, R., Cauli, N., Meloni, A., Recupero, D. R., Kyriazis, D., Sofianidis, G., Theodoropoulos, S., Fortuna, B., Mladenić, D., Soldatos, J., 2023. Human-centric artificial intelligence architecture for industry 5.0 applications. International Journal of Production Research, 61(20), 6847–6872, DOI: 10.1080/00207543.2022.2138611
Schepman, A., Rodway, P., 2020. Initial validation of the general attitudes towards Artificial Intelligence Scale. Computers in Human Behavior Reports, 1, 100014, DOI: 10.1016/j.chbr.2020.100014
Shekhar, A. R., Parekh, M. H., Pol, V. G., 2022. Worldwide ubiquitous utilization of lithium-ion batteries: What we have done, are doing, and could do safely once they are dead? Journal of Power Sources, 523, 231015, DOI: 10.1016/j.jpowsour.2022.231015
Song, M.- K., Lin, F.- C., Ward, S. E., Fine, J. P., 2013. Composite variables: When and how. Nursing Research, 62(1), 45–49, DOI: 10.1097/NNR.0b013e3182741948
Wang, X., Zhu, F., 2021. The Application of Artificial Intelligence in AI News Anchor (2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City. Springer Singapore, 102, pp. 1093–1100.
Żywiołek, J., 2024a. Building Trust in AI-Human Partnerships: Exploring Preferences and Influences in the Manufacturing Industry. Management Systems in Production Engineering, 32(2), 244–251, DOI: 10.2478/mspe-2024-0024