References
- Afroogh, S., Akbari, A., Malone, E., Kargar, M. & Alambeigi, H. (2024): Trust in AI: Progress, Challenges, and Future Directions. Humanities and Social Sciences Communications, 11(1), 1–32.
- Ahmed, N., Wahed, M. & Thompson, N. C. (2023): The Growing Influence of Industry in AI Research. Science, 379, 884–886.
- Arksey, H. & O’Malley, L. (2005): Scoping studies: Towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19–32.
- Banavar, G. (2016): Learning to Trust Artificial Intelligence Systems: Accountability, Compliance and Ethics in the Age of Smart Machines. IBM, September, <accessed online: https://www.ibm.com/watson/assets/pdfs/Learning_to_trust_AI_systems.pdf>.
- Butcher, J. & Beridze, I. (2019): What is the State of Artificial Intelligence Governance Globally? The RUSI Journal, 164(5–6), 88–96.
- Carstens, J. (2023): Unpacking Political Trust: A Review of Conceptualisations, Determinants, and Consequences. French Politics, 21, 295–314.
- Criado, J. I. & Gil-Garcia, R. J. (2019): Creating Public Value Through Smart Technologies and Strategies: From Digital Services to Artificial Intelligence and Beyond. International Journal of Public Sector Management, 32(5), 438–450.
- Devine, D. & Valgar.sson, V. O. (2023): Stability and Change in Political Trust: Evidence and Implications from Six Panel Studies. European Journal of Political Research, 63(2), 478–497.
- Dodsworth, S. & Cheeseman, N. (2020): Political Trust: The Glue that keeps Democracies Together. University of Birmingham & Westminster Foundation for Democracy, May, <accessed online: https://www.agora-parl.org/sites/default/files/agora-documents/Political%20trust%20-%20The%20glue%20hat%20keeps%20democracies%20together.pdf >.
- Dogan, M. (1992): Conceptions of Legitimacy. In: Hawkesworth, Mary and Kogan, M. (eds.): Encyclopedia of Government and Politics. London and New York: Routledge, 116–128.
- Duenser, A. & Douglas, D. M. (2023): Whom to Trust, How and Why: Untangling Artificial Intelligence Ethics Principles, Trustworthiness, and Trust. IEEE Intelligent Systems, 38(6), 19–38.
- Easton, D. (1975): A Re-Assessment of the Concept of Political Support. British Journal of Political Science, 5(4), 435–457.
- Eder, C., Mochmann, I. C. & Quandt, M. (eds.) (2014): Political Trust and Disenchantment with Politics: International Perspectives. Leiden: Brill.
- Emaminejad, N., North, A. M. & Akhavian, R. (2022, May 24): Trust in AI and Implications for the AEC Research: A Literature Analysis. ASCE International Conference on Computing in Civil Engineering, May 24, <accessed online: https://ascelibrary.org/doi/10.1061/9780784483893.037>.
- European Commission (2019): Ethics Guidelines for Trustworthy AI. European Commission, April, <accessed online: https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai>.
- Fisher, J. A. V. (2012): Globalization and Political Trust. MPRA Paper, 37763, 1–63.
- Flynn, R., Ricci, M. & Bellaby, P. (2012): Ambiguity, Complexity and Uncertainty Surrounding the Hazards of Hydrogen and Public Views of Emergent Risks. Journal of Risk Research, 15, 373–387.
- Gillespie, N., Lockey, S., Curtis, C., Pool, J. & Akbari, A. (2023): Trust in Artificial Intelligence: A Global Study. The University of Queensland & KPMG Australia, February, <accessed online: https://assets.kpmg.com/content/dam/kpmg/au/pdf/2023/trust-in-ai-global-insights-2023.pdf>.
- Gillis, R., Laux, J. & Mittelstadt, B. (2024): Trust and Trustworthiness in Artificial Intelligence. In: Paul, Regine, Carmel, E. & Cobbe, J. (eds.), Handbook on Artificial Intelligence and Public Policy. Cheltenham: Edward Elgar, 181–193.
- Glikson, E. & Williams Woolley, A. (2020): Human Trust in Artificial Intelligence: Review of Empirical Research. Academy of Management Annals, 14(2), 627–660.
- Gomstyn, A., Jonker, A. & McGrath, A. (2024): What is trustworthy AI? IBM, October, <accessed online: https://www.ibm.com/think/topics/trustworthy-ai#:~:text=Trustworthy%20AI%20 refers%20to%20artificial, among%20stakeholders%20and%20end%20users>.
- Gutierrez Gaviria, C. I. (2022): The Role of Artificial Intelligence in Pushing the Boundaries of U.S. Regulation: A Systematic Review. Santa Clara High Technology Law Journal, 38(2), 123.
- Hooghe, M. & Zmerli, S. (2011): Introduction: The Context of Trust. In: Zmerli, Sonja & Hooghe, M. (eds.): Political Trust: Why Context Matters. Colchester: ECPR Press, 1–12.
- Kaišić, K. & Fink-Hafner, D. (2025): Raziskovalno poročilo 2: Politično zaupanje in umetna inteligenca: pregled literature [Research Report 2: Political Trust and Artificial Intelligence: Literature Review]. Ljubljana: Center za politološke raziskave.
- Kappler, M., Schomaker, R., Guashino, E. & Verhoest. (2024): How do Elite Core Actors Assess Trust in National and EU Authorities? The Varying Role of Generalised Trust at Different Governmental Levels. Comparative European Politics, 1–32.
- Kemper, J. & Kolkman, D. (2019): Transparent to Whom? No Algorithmic Accountability Without a Critical Audience. Information, Communication & Society, 22(14), 2081–2096.
- Kleizen, B., Van Dooren, W., Verhoest, K. & Tan, E. (2023): Do Citizens Trust Trustworthy Artificial Intelligence? Experimental Evidence on the Limits of Ethical AI Measures in Government. Government Information Quarterly, 40(4), 1–21.
- Kreps, S. & Kriner, D. (2023): How AI Threatens Democracy. Journal of Democracy, 34(4), 122–131.
- Kreps, S., George, J., Lushenko, P. & Rao, A. (2023): Exploring the Artificial Intelligence ’Trust Paradox‘: Evidence from a Survey Experiment in the United States. PLos One, 18(7), e0288109.
- Laux, J., Wachter, S. & Mittelstadt, B. (2024): Trustworthy Artificial Intelligence and the European Union AI Act: On the Conflation of Trustworthiness and Acceptability of Risk. Regulation & Governance, 18, 3–32.
- Li, B., Qi, P., Liu, B., Di, S., Liu, J., Pei, J., Yi, J. & Zhou, B. (2022): Trustworthy AI: From Principles to Practices. ACM Computing Surveys, 55(9), 1–56.
- Li, Y., Wu, B., Huang, Y. & Luan, S. (2024): Developing Trustworthy Artificial Intelligence: Insights from Research on Interpersonal, Human-Automation, and Human-AI Trust. Frontiers in Psychology, 15, 1–13.
- Lockey, S., Gillespie, N., Holm, D. & Someh, I. A. (2021, January 5): A Review of Trust in Artificial Intelligence: Challenges, Vulnerabilities and Future Directions. Proceeding of the 54th Hawaii International Conference on System Science, January 5, <accessed online: https://www.researchgate.net/publication/349157208_A_Review_of_Trust_in_Artificial_Intelligence_Challenges_Vulnerabilities_and_Future_Directions>.
- Martini, S. & Quaranta, M. (2020): Citizens and Democracy in Europe: Contexts, Changes and Political Support. Cham: Palgrave Macmillan.
- Miller, A. H. (1974): Political Issues and Trust in Government: 1964–1970. American Political Science Review, 68(3), 951–972.
- Neuwirth, R. J. (2023): The EU Artificial Intelligence Act: Regulating Subliminal AI Systems. London: Routledge.
- Newton, K. (2015): Trust and Political Disenchantment. In: Eder, Christina, Mochmann, I. C. & Quandt, M. (eds.): Political Trust and Disenchantment with Politics. Leiden: Brill, 19–30.
- Nie, M. (2024): Artificial Intelligence: The Biggest Threat to Democracy Today? Proceedings of the AAAI Symposium Series, 3(1), 376–379.
- Norris, P. (2022a): Two Faces of Trust. In: Norris, Pippa (ed.): Praise of Skepticism: Trust but Verify. Oxford: Oxford University Press, 3–25.
- Norris, P. (2022b): The General Theory of Skeptical Trust. In: Norris, Pippa (ed.): Praise of Skepticism: Trust but Verify. Oxford: Oxford University Press, 26–51.
- Omrani, N., Rivieccio, G., Fiore, U., Schiavone, F. & Garcia Agreda, S. (2022): To Trust or not to Trust? An Assessment of Trust in AI-based Systems: Concerns, Ethics and Contexts. Technological Forecasting & Social Change, 181, 1–10.
- Oudshoorn, N. & Pinch, T. (2003): How Users and Non-Users Matter. In: Oudshoorn, Nelly & Pinch, T. (eds.): How Users Matter: The Co-Construction of Technologies and Users. Cambridge: MIT Press, 4–22.
- Pillulta, M. M. (2005): Trust. In: Nicholson, Nigel, Audia, P. G. & Pillutla, M. M. (eds.): The Blackwell Encyclopedia of Management: Organizational Behavior. Malden, Oxford and Carlton: Blackwell Publishers Ltd., 406–409.
- Rai, A., Constantinides, P. & Sarker, S. (2019): Next Generation Digital Platforms: Towards Human-AI Hybrids. MIS Quarterly, 43(1), iii–ix.
- Robles, P. & Mallinson, D. J. (2023a): Artificial Intelligence Technology, Public Trust, and Effective Governance. Review of Policy Research, 1–18.
- Robles, P. & Mallinson, D. J. (2023b): Catching up with AI: Pushing Toward a Cohesive Governance Framework. Politics & Policy, 51(3), 355–372.
- Ryan, M. (2020): In AI We Trust: Ethics, Artificial Intelligence, and Reliability. Science and Engineering Ethics, 26, 2749–2767.
- Siau, K. & Wang, W. (2018): Building Trust in Artificial Intelligence, Machine Learning, and Robotics. Cutter Business Technology Journal, 31(2), 47–53.
- Silverstone, R. & Hirsch, E. (eds.) (1992): Consuming Technologies: Media and Information in Domestic Spaces. London and New York: Routledge.
- Sztompka, P. (2022): Trust. In: Harris, Phil, Bitonti, A., Fleisher, C. S. & Binderkrantz, A. S. (eds.): The Palgrave Encyclopedia of Interest Groups, Lobbying and Public Affairs. Cham: Palgrave Macmillan, 1428–1432.
- Tambotoh, J. J. C., Supangkat, S. H., Kosala, R., Ranti, B., Prabowo, H., Isa, S. M. & Pudjianto, B. W. (2017, November 15–17): Conceptual Model for Creating Effective Public Value through Key Practices in Information Technology Governance Mechanisms. International Conference on Information Management and Technology, November 15–17, <accessed online: https://www.researchgate.net/publication/322873473_A_conceptual_model_for_creating_effective_public_value_through_key_practices_in_information_technology_governance_mechanisms>.
- Uslaner, E. M. (2015): Trust, Political. In: Wright, James D. (ed.): International Encyclopedia of Social & Behavioral Sciences. Oxford: Elsevier, 658–663.
- Valle-Cruz, D., Criado, J. I., Sandoval-Almazan, R. & Ruvalcaba-Gomez, E. (2020): Assessing the public policy-cycle framework in the age of artificial intelligence: From agenda-setting to policy evaluation. Government Information Quarterly, 37(4), 1–12.
- van der Meer, T. W. G. (2017): Political Trust and the “Crisis of Democracy”. In: Thompson, William R. (ed.): Oxford Research Encyclopedia of Politics. Oxford: Oxford University Press, 1–22.
- van der Meer, T. W. G. & van Erkel, P. F. A. (2024): Moving beyond the Political Trust Crisis Debate: Residual Analyses to Understand Trends in Political Trust. European Journal of Political Research, 63(3), 1240–1257.
- Veen, M., Gremmen, B., te Molder, H., & van Woerkum, C. (2010): Emergent Technologies against the Background of Everyday Life: Discursive Psychology as a Technology Assessment Tool. Public Understanding of Science, 20(6), 810–825.
- Warren, M. E. (ed.) (1999): Democracy and trust. Cambridge, New York: Cambridge University Press.
- Weinberg, J. (2022): Can Political Trust Help to Explain Elite Policy Support and Public Behaviour in Times of Crisis? Evidence from the United Kingdom at the Height of the 2020 Coronavirus Pandemic. Political Studies, 70(3), 655–679.
- Wilson, C. (2022): Public Engagement and AI: A Values Analysis of National Strategies. Government Information Quarterly, 39(1), 101652.
- Wilson, C. & van der Velden, M. (2022): Sustainable AI: An Integrated Model to Guide Public Sector Decision-Making. Technology in Society, 68, 101926.
- Winsvold, M., Haugsgjerd, A., Saglie, J. & Segaard, S. B. (2023): What Makes People Trust or Distrust Politicians? Insights from Open-Ended Survey Questions. West European Politics, 47(4), 759–783.
- Zmerli, S. (2014): Political Trust. In: Michalos, Alex C. (ed.): Encyclopedia of Quality of Life and Well-Being Research. Dordrecht: Springer, 1–4.
- Zmerli, S. & Hooghe, M. (eds.) (2011): Political Trust: Why Context Matters. Milton Park: ECPR Press.
- Zuiderwijk, A., Chen, Y. & Salem, F. (2021): Implications of the Use of Artificial Intelligence in Public Governance: A Systematic Literature Review and a Research Agenda. Government Information Quarterly, 38(3), 1–9.