Bibliography

Anderson, Terence J. 2007. “Visualization Tools and Argument Schemes: A Question of Standpoint.” Law, Prob. & Risk 6: 97. https://heinonline.org/hol-cgi-bin/get_pdf.cgi?handle=hein.journals/lawprisk6&section=9.
Armstrong, Stuart, Nick Bostrom, and Carl Shulman. 2016. “Racing to the Precipice: A Model of Artificial Intelligence Development.” AI & SOCIETY 31 (2): 201–6. https://doi.org/10.1007/s00146-015-0590-y.
Babakov, Nikolay, Adarsa Sivaprasad, Ehud Reiter, and Alberto Bugarín-Diz. 2025. “Reusability of Bayesian Networks Case Studies: A Survey.” Applied Intelligence 55 (6): 417. https://doi.org/10.1007/s10489-025-06289-5.
Ban, Taiyu, Lyuzhou Chen, Derui Lyu, Xiangyu Wang, and Huanhuan Chen. 2023. “Causal Structure Learning Supervised by Large Language Model.” November 20, 2023. https://doi.org/10.48550/arXiv.2311.11689.
Benn, Neil, and Ann Macintosh. 2011. “Argument Visualization for eParticipation: Towards a Research Agenda and Prototype Tool.” In Electronic Participation, edited by Efthimios Tambouris, Ann Macintosh, and Hans De Bruijn, 6847:60–73. Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-23333-3_6.
Bethard, Steven John. 2007. “Finding Event, Temporal and Causal Structure in Text: A Machine Learning Approach.” PhD thesis, University of Colorado at Boulder. https://search.proquest.com/openview/405fe32503123d9b5f4836dc3be4c011/1?pq-origsite=gscholar&cbl=18750.
Bostrom, Nick. 2014. Superintelligence: Paths, Strategies, Dangers. Oxford: Oxford University Press. https://scholar.dominican.edu/cynthia-stokes-brown-books-big-history/47.
Bucknall, Benjamin S., and Shiri Dori-Hacohen. 2022. “Current and Near-Term AI as a Potential Existential Risk Factor.” In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 119–29. Oxford United Kingdom: ACM. https://doi.org/10.1145/3514094.3534146.
Carlsmith, Joseph. 2021. “Is Power-Seeking AI an Existential Risk?” 2021. https://doi.org/10.48550/arXiv.2206.13353.
———. 2022. “Is Power-Seeking AI an Existential Risk?” https://arxiv.org/abs/2206.13353.
———. 2024. “Is Power-Seeking AI an Existential Risk?” August 13, 2024. https://doi.org/10.48550/arXiv.2206.13353.
Chen, Lu, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo, and Xueqi Cheng. 2023. “Inducing Causal Structure for Abstractive Text Summarization.” In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 213–23. Birmingham United Kingdom: ACM. https://doi.org/10.1145/3583780.3614934.
Christiano, Paul F. 2019. “What Failure Looks Like,” March. https://www.alignmentforum.org/posts/HBxe6wdjxK239zajf/what-failure-looks-like.
Clarke, Sam, Ben Cottier, Aryeh Englander, Daniel Eth, David Manheim, Samuel Dylan Martin, and Issa Rice. 2022. “Modeling Transformative AI Risks (MTAIR) Project – Summary Report.” 2022. https://doi.org/10.48550/ARXIV.2206.09360.
Cottier, Ben, and Rohin Shah. 2019. “Clarifying Some Key Hypotheses in AI Alignment,” August. https://www.lesswrong.com/posts/mJ5oNYnkYrd4sD5uE/clarifying-some-key-hypotheses-in-ai-alignment.
Cuomo, Francesca, Christine Mallin, and Alessandro Zattoni. 2016. “Corporate Governance Codes: A Review and Research Agenda.” Corporate Governance: An International Review 24 (3): 222–41. https://ueaeprints.uea.ac.uk/id/eprint/57664/.
Dafoe, Allan. 2018. “AI Governance: A Research Agenda.” Governance of AI Program, Future of Humanity Institute, University of Oxford: Oxford, UK 1442: 1443. https://www.fhi.ox.ac.uk/wp-content/uploads/GovAI-Agenda.pdf.
De Villiers, Charl, and Ruth Dimes. 2021. “Determinants, Mechanisms and Consequences of Corporate Governance Reporting: A Research Framework.” Journal of Management and Governance 25 (1): 7–26. https://doi.org/10.1007/s10997-020-09530-0.
Demirag, Istemi, Sudi Sudarsanam, and MIKE WRIGHT. 2000. “Corporate Governance: Overview and Research Agenda.” The British Accounting Review 32 (4): 341–54. https://www.academia.edu/download/49469624/bare.2000.014620161009-3955-1dt4aq5.pdf.
Di Vito, Jackie, and Kim Trottier. 2022. “A Literature Review on Corporate Governance Mechanisms: Past, Present, and Future*.” Accounting Perspectives 21 (2): 207–35. https://doi.org/10.1111/1911-3838.12279.
Duhem, Pierre Maurice Marie. 1954. The Aim and Structure of Physical Theory. 1. Princeton University Press.
European, Union. 2024. “The Act Texts | EU Artificial Intelligence Act.” 2024. https://artificialintelligenceact.eu/the-act/.
Good, Irving John. 1966. “Speculations Concerning the First Ultraintelligent Machine.” Advances in Computers, 31. https://doi.org/10.1016/S0065-2458(08)60418-0.
Gruetzemacher, Ross. 2022. “Bayesian Networks Vs. Conditional Trees for Creating Questions for Forecasting Tournaments.”
Hallegatte, Stéphane, Ankur Shah, Robert Lempert, Casey Brown, and Stuart Gill. 2012. “Investment Decision-Making Under Deep Uncertainty-Application to Climate Change.” Policy Research Working Paper 6193. https://enpc.hal.science/hal-00802049/document.
Heinze-Deml, Christina, Marloes H. Maathuis, and Nicolai Meinshausen. 2018. “Causal Structure Learning.” Annual Review of Statistics and Its Application 5 (1): 371–91. https://doi.org/10.1146/annurev-statistics-031017-100630.
Hunt, Tam. 2025. “The Insane ‘Logic’ of the AI Arms Race.” Medium. March 3, 2025. https://tamhunt.medium.com/the-insane-logic-of-the-ai-arms-race-45a5f79f4c0e.
Jaynes, Edwin T. 2003. Probability Theory: The Logic of Science. Cambridge university press.
Kaur, Kawaljit. 2024. “Corporate Governance and Legal Accountability: A Critical Review of Global Practices.” Journal of Law 2 (6): 1–7. https://joi.shodhsagar.org/index.php/SSJOI/article/view/16.
Khartabil, D., C. Collins, S. Wells, B. Bach, and J. Kennedy. 2021. “Design and Evaluation of Visualization Techniques to Facilitate Argument Exploration.” Computer Graphics Forum 40 (6): 447–65. https://doi.org/10.1111/cgf.14389.
Koller, Daphne, and Nir Friedman. 2009. Probabilistic Graphical Models: Principles and Techniques. MIT press. https://books.google.ca/books?hl=en&lr=&id=7dzpHCHzNQ4C&oi=fnd&pg=PR9&dq=Koller,+D.,+%26+Friedman,+N.+(2009).+Probabilistic+Graphical+Models&ots=py2HAh0VAL&sig=gpaID3x6-TY8x5SOopuXpZDXfzs.
List, Christian, and Philip Pettit. 2011. Group Agency: The Possibility, Design, and Status of Corporate Agents. Oxford University Press.
Manheim, David. 2021. “Modeling Transformative AI Risk (MTAIR) - LessWrong.” July 28, 2021. https://www.lesswrong.com/s/aERZoriyHfCqvWkzg.
Maslej, Nestor. 2025. “Artificial Intelligence Index Report 2025.” Artificial Intelligence.
McCaslin, Tegan, Josh Rosenberg, Ezra Karger, Avital Morris, Molly Hickman, Sam Glover, Zach Jacobs, and Phil Tetlock. 2024. “Conditional Trees: A Method for Generating Informative Questions about Complex Topics.” Forecasting Research Institute. https://static1.squarespace.com/static/635693acf15a3e2a14a56a4a/t/66ba37a144f1d6095de467df/1723479995772/AIConditionalTrees.pdf.
Metropolitansky, Dasha, and Jonathan Larson. 2025. “Towards Effective Extraction and Evaluation of Factual Claims.” February 15, 2025. https://doi.org/10.48550/arXiv.2502.10855.
Meyer, Valentin Jakob. 2022. “A Structure of Knowledge & the Process of Science.” Philosophy of the Social Sciences First Course Paper. https://doi.org/https://www.vjmeyer.com/papers/essays.
Miotti, Andrea, Tolga Bilge, Dave Kasten, and James Newport. 2024. “A Narrow Path.” https://www.narrowpath.co/.
Nelson, Roger B. 2006. An Introduction to Copulas. Springer Series in Statistics. New York, NY: Springer New York. https://doi.org/10.1007/0-387-28678-0.
Paul. 2023. “The elephAInt – Are We All Like the Six Blind Men When It Comes to AI? | PRISMAGuard LLC.” 2023. https://www.prismaguard.com/the-elephaint-are-we-all-like-the-six-blind-men-when-it-comes-to-ai/.
Pearl, Judea. 2000. Causality: Models, Reasoning, and Inference. Cambridge, U.K. ; New York: Cambridge University Press.
———. 2009. Causality: Models, Reasoning and Inference. 2nd ed. Cambridge University Press.
———. 2014. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Elsevier. https://books.google.ca/books?hl=en&lr=&id=mn2jBQAAQBAJ&oi=fnd&pg=PP1&dq=Pearl,+J.+(1988).+Probabilistic+Reasoning+in+Intelligent+Systems&ots=4tEX2A4Ha8&sig=lgUs_RCoeXEEuGwM5xMEoyJy4HI.
Pollock, John L. 1995. Cognitive Carpentry: A Blueprint for How to Build a Person. Mit Press. https://books.google.ca/books?hl=en&lr=&id=JAfHrHTqswAC&oi=fnd&pg=PA1&dq=Pollock,+J.+(1995).+Cognitive+Carpentry&ots=rq-qSCBcxV&sig=aAfHGsGUosxl_1-JuxIEA7C2QO4.
Rehman, Iskander. 2025. “The Battle for Brilliant Minds: From the Nuclear Age to AI.” War on the Rocks. January 13, 2025. https://warontherocks.com/2025/01/the-battle-for-brilliant-minds-from-the-nuclear-age-to-ai/.
Samborska, Veronika. 2025. “Scaling up: How Increasing Inputs Has Made Artificial Intelligence More Capable.” Our World in Data, January. https://ourworldindata.org/scaling-up-ai.
Samuel, Sigal. 2023. “AI Is a ‘Tragedy of the Commons.’ We’ve Got Solutions for That.” Vox. July 7, 2023. https://www.vox.com/future-perfect/2023/7/7/23787011/ai-arms-race-tragedy-commons-risk-safety.
Schelling, Thomas C. 1960. “I960. The Strategy of Conflict.” Cambridge, Mass.
Solomon, Jill. 2020. Corporate Governance and Accountability. John Wiley & Sons. https://books.google.ca/books?hl=en&lr=&id=JAX9DwAAQBAJ&oi=fnd&pg=PR1&dq=review+of+the+effects+of+liability+frameworks+on+corporate+governance+&ots=ny23_vd-U0&sig=3LuNNhvSWXriEeg-ipAdDIQGAgo.
Squires, Chandler, and Caroline Uhler. 2023. “Causal Structure Learning: A Combinatorial Perspective.” Foundations of Computational Mathematics 23 (5): 1781–1815. https://doi.org/10.1007/s10208-022-09581-9.
Tegmark, Max. 2024. “Asilomar AI Principles.” Future of Life Institute. 2024. https://futureoflife.org/open-letter/ai-principles/.
Tetlock, Phil. 2022. “Conditional Trees: AI Risk.” 2022. https://www.metaculus.com/tournament/3508/.
Tetlock, Philip E., and Dan Gardner. 2015. Superforecasting: The Art and Science of Prediction. First paperback edition. New York: Broadway Books.
Todd, Benjamin. 2024. “It Looks Like There Are Some Good Funding Opportunities in AI Safety Right Now.” Substack newsletter. Benjamin Todd. December 21, 2024. https://benjamintodd.substack.com/p/looks-like-there-are-some-good-funding.
Voigt, Christian. (2014) 2025. “Christianvoigt/Argdown.” https://github.com/christianvoigt/argdown.
Yang, Jie, Soyeon Caren Han, and Josiah Poon. 2022. “A Survey on Extraction of Causal Relations from Natural Language Text.” Knowledge and Information Systems 64 (5): 1161–86. https://doi.org/10.1007/s10115-022-01665-w.
Yudkowsky, Eliezer. 2008. “Artificial Intelligence as a Positive and Negative Factor in Global Risk.” In Global Catastrophic Risks, by Eliezer Yudkowsky. Oxford University Press. https://doi.org/10.1093/oso/9780198570509.003.0021.