References
- Ahmad, N., Murugesan, S., and Kshetri, N. 2023. Generative artificial intelligence and the education sector. Computer 56 (6): 72-76.
- Almeida, A. J. 2007. Employability, work contexts and labour market in Portugal. Sísifo: educational sciences journal, (2), 51-58.
- Andrewson, J., and Mitchell, H. 2006. Employability for students: How to get the best from your education course. Escalate, Higher Education Academy Education Subject Centre, University of Bristol.
- Anis, S., and French, J. A. 2023. Efficient, explicatory, and eqAItable: Why qualitative researchers should embrace AI, but cautiously. Business and Society 62 (6): 1139–1144.
- Association of Graduate Careers Advisory Services (AGCAS), 2007. What do graduates do? Availbale from http://www.prospects.ac.uk/cms/ShowPage/Home_page/What_do_graduates_do__2007/p!eaLidbl.
- Association of Graduate Careers Advisory Services (AGCAS). 2007. What do graduates do?
- Awad, E., and Kröger, J. 2020. The responsible use of AI: Ethical concerns and practical solutions. AI and Society 35 (3): 637-650.
- Baldegger, R., Caon, M., and Sadiku, K. 2020. Correlation between entrepreneurial orientation and implementation of AI in human resource management (HRM). Technology Innovation Management Review 10 (4): 72-79.
- Baltà-Salvador, R., El-Madafri, I., Brasó-Vives, E., and Peña, M. 2025. Empowering engineering students through artificial intelligence (AI): Blended human–AI creative ideation processes with ChatGPT. Computer Applications in Engineering Education, 33(1), e22817.
- Barrera, A. 2017. Social economy and critical thinking: Apontes for the analysis of the current scenario. Labor and Sociedad, 29, 517-535.
- Baruch Y. 2001. Employability: A substitute for loyalty? Human Resource Development International, Volume http://www.informaworld.com/smpp/title%7Econtent=t713701210%7Edb=all%7Etab=issueslist%7Ebranches=4–v44, (4), 543–566.
- Baruch, Y. 2001. Employability: A substitute for loyalty? Human Resource Development International 4 (4): 543–566.
- Bay, M., and McKeage, K. 2006. Improving soft skills and cognitive flexibility through an interdisciplinary approach. Journal of General Education 55 (1): 57–74.
- Berntson, E., Sverke, M., and Marklund, S. 2006. Predicting perceived employability: human capital or labour market opportunities?. Economic and Industrial democracy 27 (2): 223-244.
- Bozkurt, A. 2023. Generative artificial intelligence (AI) powered conversational educational agents: The inevitable paradigm shift. Asian Journal of Distance Education, 18(1).
- Brown, P., Hesketh, A., and Williams, S. 2004. The mismanagement of talent: Employability and jobs in the knowledge economy. Oxford University Press, USA.
- Brynjolfsson, E., and McAfee, A. 2014. The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton and Company.
- Buchholz, K. 2023. ChatGPT sprints to one million users. Statista. com. Available online at: https://www.statista.com/chart/29174/time-to-one-million-users/(accessed March 1 2025).
- Campos, D. B., de Resende, L. M. M., and Fagundes, A. B. 2020. The importance of soft skills for the engineering. Creative Education, 11, 1504-1520.
- Carlini, N., Tramer, F., Wallace, E., Jagielski, M., Herbert-Voss, A., Lee, K.,.. and Raffel, C. 2021. Extracting training data from large language models. In 30th USENIX security symposium (USENIX Security 21) (2633-2650).
- Carvalho, S. W., and de Oliveira Mota, M. 2010. The role of trust in creating value and student loyalty in relational exchanges between higher education institutions and their students. Journal of marketing for higher education 20 (1): 145-165.
- Cascini, G., Nagai, Y., Georgiev, G. V., et al. 2022. Perspectives on design creativity and innovation research: 10 years later. International Journal of Design Creativity and Innovation 10 (1): 1–30.
- Castelli, M., and Manzoni, L. 2022. Generative models in artificial intelligence and their applications. Applied Sciences 12 (9): 4127.
- Cazzaniga and others. 2024. “Gen-AI: Artificial Intelligence and the Future of Work.” IMF Staff Discussion Note SDN2024/001, International Monetary Fund, Washington, DC.
- Cooper, G. 2023. Examining science education in ChatGPT: An exploratory study of generative artificial intelligence. Journal of science education and technology 32 (3): 444-452.
- Cox, S., and King, D. 2006. Skill sets: An approach to embed employability in course design. Education + Training 48 (4): 262–274.
- Crawford, E. R., LePine, J. A., and Rich, B. L. 2010. Linking job demands and resources to employee engagement and burnout: A theoretical extension and meta-analytic test. Journal of Applied Psychology 95 (5): 834–848.
- Currie, G. M. 2023. Academic integrity and artificial intelligence: Is ChatGPT hype, hero or heresy? Seminars in Nuclear Medicine 53 (5): 719–730.
- Darwin, D., Rusdin, D., Mukminatien, N., Suryati, N., Laksmi, E. D., and Marzuki. 2024. Critical thinking in the AI era: An exploration of EFL students’ perceptions, benefits, and limitations. Cogent Education 11 (1): 2290342.
- Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13 (3): 319-340.
- De Grip, A., van Loo, J., and Sanders, J. 2004. The industry employability index: Taking account of supply and demand characteristics. International Labour Review 143 (3): 211–233.
- De Prada, E., Mareque, M., and Pino-Juste, M. 2022. Teamwork skills in higher education: Is university training contributing to their mastery? Psicologia: Reflexão e Crítica 35 (5): 1-13. https://doi.org/10.1186/s41155-022-00207-1
- Dogara G., Bin Saud M. S., Bin Kamin Y., et al. 2019. Developing soft skills through project-based learning in technical and vocational institutions. International Jrnl. of Recent Tech. and Engineering 8(3): 5872–5877.
- Dwivedi, Y. K., Hughes, L., and Baabdullah, A. M. 2023. Artificial intelligence (AI) adoption: Examining the role of user perceptions and societal implications. Technological Forecasting and Social Change, 190, 122359.
- Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K.,.. and Wright, R. 2023. Opinion Paper:“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International journal of information management, 71, 102642.
- Dzindolet, M. T., Pierce, L. G., Beck, H. P., and Dawe, L. A. 2002. The perceived utility of human and automated aids in a visual detection task. Human factors 44 (1): 79-94.
- Ejjami, R. 2024. Integrative Literature Review 5.0: Leveraging AI and Emerging Technologies to Redefine Academic Research. International Journal for Multidisciplinary Research, 6(5).
- Eke, D. O. 2023. ChatGPT and the rise of generative AI: Threat to academic integrity? Journal of Responsible Technology, 13, 100060.
- El-Tabal, A. A. A. 2020. Soft skills and its impact on organizational creativity – A field study. Journal of Business and Retail Management Research 14 (3): 78-86.
- Epstein, Z., Hertzmann, A., Investigators of Human Creativity, Akten, M., Farid, H., Fjeld, J., and Smith, A. 2023. Art and the science of generative AI. Science, 3806650., 1110-1111.
- Escolà-Gascón, Á., and Gallifa, J. 2022. How to measure soft skills in the educational context: Psychometric properties of the SKILLS-in-ONE questionnaire. Studies in Educational Evaluation, 74, 101155.
- Faraj, A. O. K. 2022. A proposal to employ artificial intelligence applications in developing Prince Sattam Bin Abdulaziz University students’ future skills. Education Research International, 2022, 6433372.
- Floridi, L. and Cowls, J. 2019. A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1).
- Fogel, A. L. and Kvedar, J. C. 2018. Artificial intelligence powers digital medicine. NPJ digital medicine 1 (1): 5.
- Forrier, A., and Sels, L. 2003. The concept employability, a complex mosaic, International Journal of Human Resources Development and Management 3 (2): 102–104.
- Fugate, M., Kinicki, A. J., and Ashforth, B. E. 2004. Employability: A psycho-social construct, its dimensions, and applications. Journal of Vocational Behavior, 65, 14–38.
- Galxon, A., Costa, A., and Kallick, B. 2016. Dispositions: Reframing teaching and learning. Corwin Press.
- Gedye, S., Fender, E., and Chalkley, B. 2004. Students’ undergraduate expectations and post-graduation experiences of the value of a degree. Journal of Geography in Higher Education 28 (3): 381–396.
- Geyskens, I., Steenkamp, J. B. E., and Kumar, N. 1999. A meta-analysis of satisfaction in marketing channel relationships. Journal of marketing Research 36 (2): 223-238.
- Giese, J. L. and Cote, J. A. 2000. Defining consumer satisfaction. Academy of marketing science review 1 (1): 1-22.
- Gough 2008. Problems in valuing graduate careers, Conference Paper 0067, Proceedings of Society for Research in Higher Education (SRHE) Annual Conference, Liverpool.
- Gough, B. 2008. Problems in valuing graduate careers. Conference Paper 0067, Proceedings of Society for Research in Higher Education (SRHE) Annual Conference, Liverpool.
- Goulart, V. G., Liboni, L. B., and Cezarino, L. O. 2021. Balancing skills in the digital transformation era: The future of jobs and the role of HE. Industry and Higher Education, doi:10.1177/09504222211029796
- Gul, R. 2014. The relationship between reputation, customer satisfaction, trust, and loyalty. Journal of Public Administration and Governance 4 (3): 368-387.
- Hair, J. F., Hult, G. T. M., Ringle, C. M., and Sarstedt, M. 2022. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). Sage Publications.
- Hay, A., and Hodgkinson, M. 2006. Exploring MBA career success. Career Development International 11 (2): 108–124.
- He, C., Teng, R., and Song, J. 2023. Linking employees’ challenge-hindrance appraisals toward AI to service performance: The influences of job crafting, job insecurity and AI knowledge. International Journal of Contemporary Hospitality Management 36 (3): 975–994.
- Hillage, J. and Pollard, E. 1998. Employability: developing a framework for policy analysis (Vol. 107). London: DfEE.
- Hooda, M., Rana, C., Dahiya, O., Rizwan, A., and Hossain, M. S. 2022. Artificial intelligence for assessment and feedback to enhance student success in higher education. Mathematical Problems in Engineering, 2022, 5215722.
- Hruby, V. 2024. Exploring AI Adoption Dynamics and Entrepreneurial Orientation in Czech Chemical SMEs: A Pilot Study Perspective. Scientific Papers of the University of Pardubice, Series D: Faculty of Economics and Administration.
- Hung, L. and Sun, K. 2020. How Will AI Change/Impact Management and Business World. Artificial Intelligence and Its Impact on Business, 17-37.
- Hurrell, S. A., Scholarios, D., and Thompson, P. 2013. More than a feeling: The role of emotions in negotiating the transition to new employment. Human Relations, Volu. 66 (Issue 6), 869–888.
- Ilori M. O. and Ajagunna I. 2020. Re-imagining the future of education in the era of the fourth industrial revolution. Worldwide Hospitality and Tourism Themes Vol. 12 (Issue 1): 3–12.
- Jeyarani, M. and Al-Busaidi, A. 2023. New role of leadership in AI era: Educational sector. SHS Web of Conferences, 156, 09005.
- Jo, A. 2023. The promise and peril of generative AI. Nature 614 (1): 214-216.
- Jurczuk, A., and Florea, A. 2022. Future-oriented digital skills for process design and automation. Human Technology 18 (2): 122–142.
- Kahneman, D. 2011. Thinking, fast and slow. Farrar, Straus and Giroux.
- Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F.,.. and Kasneci, G. 2023. ChatGPT for good? On opportunities and challenges of large language models for education. Learning and individual differences, 103, 102274.
- Kaul, V., Enslin, S., and Gross, S. A. 2020. History of artificial intelligence in medicine. Gastrointestinal endoscopy 92 (4): 807-812.
- Kelchevskaya N. R. and Shirinkina E. V 2019. Regional determinants of effective use of human capital in the digital economy. Economy of Region Vol. 15 (Issue 2): 465–482.
- Kelly, S., Kaye, S. A., and Oviedo-Trespalacios, O. 2023. What factors contribute to the acceptance of artificial intelligence? A systematic review. Telematics and Informatics, 77, 101925.
- Khalifa, M. and Liu, V. 2004. The state of research on information system satisfaction. Journal of Information Technology Theory and Application (JITTA) 5 (4): 4.
- Kim, J. W., Messerschmidt, M., and Graves, W. S. 2022. Enhancement of Partially Coherent Diffractive Images Using Generative Adversarial Network. AI 3 (2): 274-284.
- Kim, J. and Maher, M. L. 2023. The effect of AI-based inspiration on human design ideation. International Journal of Design Creativity and Innovation 11 (2): 81–98.
- Kim, K. J. and Frick, T. W. 2011. Changes in student motivation during online learning. Journal of Educational Computing Research 44 (1): 1-23.
- Kline, R. B. 2015. Principles and Practice of Structural Equation Modeling (4th ed.). The Guilford Press.
- Koivisto, M. and Grassini, S. 2023. Best humans still outperform artificial intelligence in a creative divergent thinking task. Scientific Reports, 13, 13601.
- Kurbanov, R. A., Belyalova A. M., Yarygina N. A., et al. 2020. Student attitude to future profession in field of IT at university training stage. International Jrnl. of Psychosocial Rehabilitation Vol.24 (Issue 4):5019–5026.
- Lane, D., Puri, A., Cleverly, P., Wylie, R., and Rajan, A. 2000. Employability: Bridging the Gap Between Rhetoric and Reality; Second Report: Employee’s Perspective. London: Create Consultancy/Professional Development Foundation. Li F., Ding X. et Morgan WJ 2009. Higher education and the starting wages of graduates in China, International Journal of Educational Development, 29, 374-381.
- Langer, M. and Landers, R. N. 2021. The future of AI in work-place decision-making: Trust and skepticism. Computers in Human Behavior, 125, 106955.
- Lee, H. K. 2022. Rethinking creativity: Creative industries, AI and everyday creativity. Media, Culture and Society 44 (3): 601–612.
- Leitch S. (Ed.). 2006. Leitch review of skills: Prosperity for all in the global economy – world class skills (final report), HMSO/HM Treasury, London, ISBN10: 0-11-840486-5.
- Leitch, S. (Ed.). 2006. Leitch review of skills: Prosperity for all in the global economy – World class skills (Final Report). HMSO/HM Treasury.
- Li, F., Ding, X., and Morgan, W. J. 2009. Higher education and the starting wages of graduates in China. International Journal of Educational Development, 29, 374–381.
- Lim, W. M., Gunasekara, A., Pallant, J. L., Pallant, J. I., and Pechenkina, E. 2023. Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators. The international journal of management education 21 (2): 100790.
- Liu, B., Hu, M., and Cheng, J. 2012. Opinion observer: Analyzing and comparing opinions on the Web. Proceedings of the 14th International Conference on World Wide Web (342-351).
- Liu, Y., Yang, Z., Yu, Z., Liu, Z., Liu, D., Lin, H., and Shi, S. 2023. Generative artificial intelligence and its applications in materials science: Current situation and future perspectives. Journal of Materiomics 9 (4): 798-816.
- Lodge, J. M., Thompson, K., and Corrin, L. 2023. Mapping out a research agenda for generative artificial intelligence in tertiary education. Australasian Journal of Educational Technology 39 (1): 1-8.
- Louie, R., Coenen, A., Huang, C. Z., Terry, M., and Cai, C. J. (2020, April). Novice-AI music co-creation via AI-steering tools for deep generative models. In Proceedings of the 2020 CHI conference on human factors in computing systems (1-13).
- Lv, Z. 2023. Generative artificial intelligence in the metaverse era. Cognitive Robotics, 3, 208-217.
- Maedche, A., Legner, C., Benlian, A., Berger, B., Gimpel, H., Hess, T., and Söllner, M. 2019. AI-based digital assistants: Opportunities, threats, and research perspectives. Business and Information Systems Engineering, 61, 535-544.
- Majid, S., Eapen, C. M., Aung, E. M., and Oo, K. T. 2019. The Importance of Soft Skills for Employability and Career Development: Students and Employers’ Perspectives. IUP Journal of Soft Skills, 13(4).
- Malakul, S. and Park, I. 2023. The effects of using an auto-subtitle system in educational videos to facilitate learning for secondary school students: learning comprehension, cognitive load, and satisfaction. Smart Learning Environments 10 (1): 4.
- Manheim, K. and Kaplan, L. 2019. Artificial intelligence: Risks to privacy and democracy. Yale JL and Tech., 21, 106.
- McCardle, S., Waters, L., Briscoe, J. P., and Hall, D. T. 2007. Employability during unemployment: Adaptability, career identity, and human and social capital. Journal of Vocational Behavior, 71, 247–264.
- McClure, P. K. 2018. “You’re fired,” says the robot: the rise of automation in the workplace, technophobes, and fears of unemployment. Social Science Computer Review 36 (2): 139-156.
- McKnight, D. H., Choudhury, V., and Kacmar, C. 2002. Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research 13 (3): 334-359.
- McMullan, R. and Gilmore, A. 2003. The conceptual development of customer loyalty measurement: A proposed scale. Journal of Targeting, Measurement and Analysis for Marketing, 11, 230-243.
- Meireles, M. C. and Bonifácio, B. 2015. Use of agile methods and problem-based learning in software engineering teaching: An experience report. In 8th Brazilian Product Development Management Congress (180-189). Cairó: IFRN.
- Morse, S. M. 2006. Assessing the value: Work based learning placements for post-graduate human resource development students, Journal of. European Industrial Training 30 (9): 735–755.
- Mulgan, T. 2016. Superintelligence: Paths, dangers, strategies.
- Muller, M.; Chilton, L.B.; Kantosalo, A.; Martin, C.P.; Walsh, G. 2022. GenAICHI: Generative AI and HCI. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems Extended Abstracts, New Orleans, LA, USA, 29 April–5 May 2022; 1–7.
- OCDE. 2016. Resport titled: Skills for a digital world: 2016 OECD Ministerial Meeting on the Digital Economy. OECD Publishing.
- Ouyang, F., Zheng, L., and Jiao, P. 2022. Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020. Education and Information Technologies 27 (6): 7893-7925.
- Paraponaris, A., Saliba, B., and Ventelou, B. 2005. Obesity, weight status and employability: Empirical evidence from a French national survey. Economics and Human Biology 3 (2): 241–258.
- Pavlik, J. V. 2023. Collaborating with ChatGPT: Considering the implications of generative artificial intelligence for journalism and media education. Journalism and mass communication educator 78 (1): 84-93.
- Qadir, J. (2023, May). Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education. In 2023 IEEE global engineering education conference (EDUCON) (1-9).
- QAInn, S., Hogan, M., Dwyer, C., Finn, P., and Fogarty, E. 2020. Development and validation of the student-educator negotiated critical thinking dispositions scale (SENCTDS). Thinking Skills and Creativity 38 (4): 100710–17.
- Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K.,.. and Bengio, Y. 2022. Tackling climate change with machine learning. ACM Computing Surveys (CSUR) 55 (2): 1-96.
- Rothwell, A. and Arnold, J. 2007. Self-perceived employability: Development and validation of a scale. Personnel Review 36 (1): 23–41.
- Rothwell, A., Herbert, I., and Rothwell, F. 2008. Self perceived employability: Construction and initial validation of a scale for university students. Journal of Vocational Behavior 73 (1): 1–12.
- Russell, S. J. and Norvig, P. 2016. Artificial intelligence: a modern approach. Pearson.
- Schyns, B., Torka, N., and Gösling, T. 2007. Turnover intention and preparedness for change: Exploring leader-member exchange and occupational self-efficacy as antecedents of two employability predictors. Career Development International 12 (7): 660–679.
- Secinaro, S., Calandra, D., Secinaro, A., Muthurangu, V., and Biancone, P. 2021. The role of artificial intelligence in healthcare: a structured literature review. BMC medical informatics and decision making, 21, 1-23.
- Selwyn, N. 2022. Education and AI: The ongoing transformation of learning environments. Learning, Media and Technology 47 (1): 1-18.
- Shanta, S. and Wells, J. G. 2022. T/E design-based learning: Assessing student critical thinking and problem-solving abilities. International Journal of Technology and Design Education 32 (1): 267–285.
- Shin, D. 2021. The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI. International Journal of Human-Computer Studies, 154, 102684.
- Siau, K. and Wang, W. 2018. Building trust in artificial intelligence, machine learning, and robotics. Cutter business technology journal 31 (2): 47.
- Somiá, T. and Vecchiarini, M. 2024. Navigating the new frontier: The impact of artificial intelligence on students’ entrepreneurial competencies. International Journal of Entrepreneurial Behavior and Research 30 (11): 236-260.
- Su, J. and Yang, W. 2023. Unlocking the power of ChatGPT: A framework for applying generative AI in education. ECNU Review of Education 6 (3): 355-366.
- Thijssen, J. G. L., Van der Heijden, B. I. J. M., and Rocco, T. 2008. Toward the Employability-Link Model: Current Employment Transition to Future Employment Perspectives. Human Resource Development Review 7 (2): 165–183.
- Tomé, E. 2007. Employability, skills and training in Portugal (1988–2000): Evidence from official data. Journal of European Industrial Training 31 (5): 336–357.
- Tyagi, A. K., Fernandez, T. F., Mishra, S., and Kumari, S. (2020, December). Intelligent automation systems at the core of industry 4.0. In International conference on intelligent systems design and applications (1-18). Cham: Springer International Publishing.
- Van Dam, K. 2004. Antecedents and consequences of employability orientation. European Journal of Work and Organizational Psychology 13 (1): 29–51.
- Vasilescu M. D., Serban A. C., Dimian G. C., et al. 2020. Digital divide, skills and perceptions on digitalisation in the European Union—towards a smart labour market. PLoS ONE 15 (Issue 4): e0232032.
- Venkatesh, V. and Davis, F. D. 2000. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science 46 (2): 186-204.
- Vert, J. P. 2023. How will generative AI disrupt data science in drug discovery?. Nature Biotechnology 41 (6): 750-751.
- Wei, J., Wang, X., Schuurmans, D., Bosma, M., Xia, F., Chi, E., and Zhou, D. 2022. Chain-of-thought prompting elicits reasoning in large language models. Advances in neural information processing systems, 35, 24824-24837.
- Weisz, J. D., Muller, M., Houde, S., Richards, J., Ross, S. I., Martinez, F., and Talamadupula, K. (2021, April). Perfection not required? Human-AI partnerships in code translation. In Proceedings of the 26th International Conference on Intelligent User Interfaces (402-412).
- Wheeler, J. 2016. Emotional intelligence and leadership: A review of the progress, controversy, and criticism. Journal of Management Development, Vol. 35 (Issue 2), 310–324.
- Wingström, R., Hautala, J., and Lundman, R. 2022. Redefining creativity in the era of AI? Perspectives of computer scientists and new media artists. Creativity Research Journal 36 (2): 177–193.
- World Economic Forum. 2020. The Future of Jobs Report 2020. Retrieved online from the official website:
- Xia, Q., Chiu, T. K., and Chai, C. S. 2023. The moderating effects of gender and need satisfaction on self-regulated learning through Artificial Intelligence (AI). Education and Information Technologies 28 (7): 8691-8713.
- Yilmaz, R. and Yilmaz, F. G. K. 2023. The effect of generative artificial intelligence (AI)-based tool use on students’ computational thinking skills, programming self-efficacy and motivation. Computers and Education: Artificial Intelligence, 4, 100147.
- Zhiwen, G. and van der Heijden, B. I. J. M. 2008. Employability enhancement of business graduates in China. Education + Training 50 (4): 289–304.
- Zhou, X., Li, Y., and Zhu, X. 2023. Misinformation in AI-generated content: A growing challenge for trust in digital technologies. Journal of AI Research 67 (1): 101-123.