Taxonomy of Pathways to Dangerous AI
Not on the map. Why?
Abstract (arXiv)
In order to properly handle a dangerous Artificially Intelligent (AI) system it is important to understand how the system came to be in such a state. In popular culture (science fiction movies/books) AIs/Robots became self-aware and as a result rebel against humanity and decide to destroy it. While it is one possible scenario, it is probably the least likely path to appearance of dangerous AI. In this work, we survey, classify and analyze a number of circumstances, which might lead to arrival of malicious AI. To the best of our knowledge, this is the first attempt to systematically classify types of pathways leading to malevolent AI. Previous relevant work either surveyed specific goals/meta-rules which might lead to malevolent behavior in AIs ("Ozkural, 2014) or reviewed specific undesirable behaviors AGIs can exhibit at different stages of its development (Alexey Turchin, July 10 2015, July 10, 2015).
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Nov 2015.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 0; 2025: 2.
4 papers.
- 2023TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AIcited by 26
- 2021On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Servicescited by 4
- 2025Dimensional Characterization and Pathway Modeling for Catastrophic AI Riskscited by 1
- 2025Exploring Human Perceptions of AI Responses: Insights from a Mixed-Methods Study on Risk Mitigation in Generative Modelscited by 0
- 2025Exploring Human Perceptions of AI Responses: Insights from a Mixed-Methods Study on Risk Mitigation in Generative Models1 Dec 2025
- 2025Dimensional Characterization and Pathway Modeling for Catastrophic AI Risks8 Aug 2025
- 2023TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI12 Jun 2023
- 2021On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services2 Nov 2021