Full list of literature corpus – supplement to: AI going rogue? An integrative narrative review of the tacit assumptions underlying existential AI-risks, DOI: 10.1007/s43681-025- 00928-w

1" Full list of literature corpus – supplement to: AI going rogue? An integrative narrative review of the tacit assumptions underlying existential AI-risks, DOI: 10.1007/s43681-02500928-w 1. Abney, K. A. (2020). Space War and AI. In Y. Masakowski (ed.), Artificial Intelligence and Global Security: Future Trends, Threats and Considerations (pp. 63-79). Emerald Publishing. 2. Alfonseca, M., Cebrian, M., Anta, A. F., Coviello, L., Abeliuk, A., & Rahwan, I. (2021). Superintelligence cannot be contained: Lessons from computability theory. Journal of Artificial Intelligence Research, 70, 65-76. 3. Ali, S. M. (2019). “White Crisis” and/as “Existential Risk”, or the entangled Apocalypticism of artificial Intelligence. Zygon, 54(1), 207-224. 4. Arvan, M. (2022). Varieties of Artificial Moral Agency and the New Control Problem. Humana Mente – Journal of Philosophical Studies, 15(42), 225-256. 5. Bajgar, O., & Horenovsky, J. (2023). Negative Human Rights as a Basis for Long-term AI Safety and Regulation. Journal of Artificial Intelligence Research, 76, 1043-1075. 6. Bales, A., D'Alessandro, W., & Kirk-Giannini, C. D. (2024). Artificial Intelligence: Arguments for Catastrophic Risk. Philosophy Compass, 19(2). 7. Barrett, A. M., & Baum, S. D. (2017). A model of pathways to artificial superintelligence catastrophe for risk and decision analysis. Journal of Experimental and Theoretical Artificial Intelligence, 29(2), 397-414. 8. Baum, S. D. (2024). Assessing the risk of takeover catastrophe from large language models. Risk Analysis. 9. Beltramini, E. (2021). The government of evil machines: An application of Romano Guardini’s thought on technology. Scientia et Fides, 9(1), 275-281. 10. Bengio, Y. (2023). AI and Catastrophic Risk. Journal of Democracy, 34(4), 111-121. 11. Boyd, M., & Wilson, N. (2020). Existential Risks to Humanity Should Concern International Policymakers and More Could Be Done in Considering Them at the International Governance Level. Risk Analysis, 40(11), 2303-2312. 12. Bucknall, B. S., & Dori-Hacohen, S. (2022). Current and Near-Term AI as a Potential Existential Risk Factor. AIES 2022 – Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 119-129. 13. Bullock, J. B. (2019). Artificial Intelligence, Discretion, and Bureaucracy. American Review of Public Administration, 49(7), 751-761. 14. Cannon, M. (2022). An Enactive Approach to Value Alignment in Artificial Intelligence: A Matter of Relevance. In V.C. Müller (Ed.) Philosophy and Theory of Artificial Intelligence 2021 (SAPERE Vol. 63, pp. 119-135). Springer. 15. Carayannis, E. G., & Draper, J. (2023). Optimising peace through a Universal Global Peace Treaty to constrain the risk of war from a militarised artificial superintelligence. AI and Society, 38(6), 2679-2692. 2" 16. Carlson, K. (2021). Provably safe artificial general intelligence via interactive proofs. Philosophies, 6(4), 83. 17. Cerf, M., & Waytz, A. (2023). If you worry about humanity, you should be more scared of humans than of AI. Bulletin of the Atomic Scientists, 79(5), 289-292. 18. Ćirković, M. M. (2015). Linking simulation argument to the AI risk. Futures, 72, 27-31. 19. Cook, T. (2023). Robust Artificial Moral Agents and Metanormativity. Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 162-169. 20. Cremer, C. Z., & Whittlestone, J. (2021). Artificial Canaries: Early warning signs for anticipatory and democratic governance of AI. International Journal of Interactive Multimedia and Artificial Intelligence, 6(5), 100. 21. Danaher, J. (2015). Why AI Doomsayers are Like Sceptical Theists and Why it Matters. Minds and Machines, 25(3), 231-246. 22. de Lima, R. C., Sinclair, L., Megger, R., Maciel, M. A. G., Vasconcelos, P. F. D. C., & Quaresma, J. A. S. (2024). Artificial intelligence challenges in the face of biological threats: Emerging catastrophic risks for public health. Frontiers in Artificial Intelligence, 7. 23. Dietrich, E. (2007). After the humans are gone Douglas Engelbart Keynote Address, North American Computers and Philosophy Conference Rensselaer Polytechnic Institute, August, 2006. Journal of Experimental and Theoretical Artificial Intelligence, 19(1), 55-67. 24. Dung, L. (2023a). How to deal with risks of AI suffering. Inquiry, 1-29. 25. Dung, L. (2023b). Current cases of AI misalignment and their implications for future risks. Synthese, 202(5). 26. Dung, L. (2024). The argument for near-term human disempowerment through AI. AI & Society. 27. Ferri, G., & Gloerich, I. (2023). Risk and Harm: Unpacking Ideologies in the AI Discourse. Proceedings of the 5th International Conference on Conversational User Interfaces, CUI 2023, Art. No. 28, 1-6. 28. Firt, E. (2023). Calibrating machine behavior: a challenge for AI alignment. Ethics and Information Technology, 25(3). 29. Goldfarb, A. (2024). Pause artificial intelligence research? Understanding AI policy challenges. Canadian Journal of Economics/Revue Canadienne d’economique, 57(2), 363-377. 30. Goldstein, S., & Kirk-Giannini, C. D. (2023). Language agents reduce the risk of existential catastrophe. AI & Society. 31. Graham, R. (2022). Discourse analysis of academic debate of ethics for AGI. AI & Society, 37(4), 1519-1532. 32. Harvey, I. (2024). Motivations for Artificial Intelligence, for Deep Learning, for ALife: Mortality and Existential Risk. Artificial Life, 30(1), 48-64. 33. Hyde, B. V. E. (2023). The Problem with Longtermism. Ethics in Progress, 14(2), 130152. 3" 34. Jebari, K., & Lundborg, J. (2019). The intelligence explosion revisited. Foresight, 21(1), 167-174. 35. Jebari, K., & Lundborg, J. (2021). Artificial superintelligence and its limits: why AlphaZero cannot become a general agent. AI & Society, 36(3), 807-815. 36. Jecker, N. S., Atuire, C. A., Bélisle-Pipon, J.-C., Ravitsky, V., & Ho, A. (2024). AI and the falling sky: interrogating X-Risk. Journal of Medical Ethics, 50(12), 811-817. 37. Jilk, D. J. (2017). Conceptual-linguistic superintelligence. Informatica (Slovenia), 41(4), 429-439. 38. Johnson, D. G., & Verdicchio, M. (2017). Reframing AI Discourse. Minds and Machines, 27(4), 575-590. 39. Kamishima, Y., Gremmen, B., & Akizawa, H. (2018). Can Merging a Capability Approach with Effectual Processes Help Us Define a Permissible Action Range for AI Robotics Entrepreneurship? Philosophy of Management, 17(1), 97-113. 40. Khamis, A., Li, H., Prestes, E., & Haidegger, T. (2019). AI: A Key Enabler of Sustainable Development Goals, Part 1 [Industry Activities]. IEEE Robotics and Automation Magazine, 26(3), 95-102. 41. Kirk-Giannini, C. D. (2024). Is Alignment Unsafe? Philosophy and Technology, 37(3). 42. Lavazza, A., & Vilaça, M. (2024). Human Extinction and AI: What We Can Learn from the Ultimate Threat. Philosophy and Technology, 37(1). 43. Lee, C. J., & Matthews, G. (2023). Intelligent Infrastructure, Humans as Resources, and Coevolutionary Futures: AI Narratives in Singapore. In S. Cave, K. Dihal (eds.), Imagining AI: How the World Sees Intelligent Machines (pp. 382-402). Oxford University Press. 44. Leggett, D. (2021). Feeding the Beast: Superintelligence, Corporate Capitalism and the End of Humanity. AIES ‘21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 727-735. 45. Lenartowicz, M., Weinbaum, D. R., Heylighen, F., Kingsbury, K., & Harmsen, T. (2018). The human takeover: A call for a venture into an existential opportunity. Information (Switzerland), 9(5). 46. Lipták, B. (2016). Is artificial intelligence dangerous? Control, 29(1), 16-18. 47. Maas, M. M., Lucero-Matteucci, K., & Cooke, D. (2023). Military artificial intelligence as a contributor to global catastrophic risk. In SJ Beard, M. Rees, C. Richards, & C. 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