Cave, S., Dihal, K. & Dillon, S., ed. (2020) AI Narratives: A History of Imaginative Thinking about Intelligent Machines. Oxford: Oxford University Press. ISBN 9780198846666.
“Drawing on diverse perspectives, this compelling collection shows how AI narratives have prompted critical reflection on human-machine relations, moving beyond the reductive dichotomy that pits visions of happy humans with AI-slaves against visions of defeated humans ruled by machines. By invoking such concepts as equality, rights and social justice, the essays investigate what it means to be human in an increasingly automated world.”Times Literary Supplement, 2021
“AI Narratives triumphantly paves the way for future work in AI humanities. Individual chapters—all balancing historical context with sharp analysis—would make valuable additions to relevant module syllabi, and the volume would be of certain advantage to any reader seeking a fresh and substantiated approach to AI scholarship.”Reviews in History, 2020
Dihal, K., ed. (2019) Perspectives on Evil: From Banality to Genocide. Leiden: Brill.
Journal Articles and Book Chapters
Cave, S., & Dihal, K. (Oct 2021) Roxanne, or Companion Robots and Hierarchies of the Human, in The Love Makers, ed. Campbell, A. London: Goldsmiths Press (in print).
Cave, S., & Dihal, K. (July 2021) AI Will Always Love You, in Minding the Future: Contemporary Issues in Artificial Intelligence, ed. Dainton, B., Slocombe, W., & Tanyi, A. New York: Springer (in print).
Dihal, K. (April 2021) Rudy Rucker. In Frana, P. & Klein, M., ed. Encyclopedia of AI. Santa Barbara, CA: ABC-CLIO (in print).
Cave, S., & Dihal, K. (2020) The Whiteness of AI. Philosophy and Technology. https://doi.org/10.1007/s13347-020-00415-6.
[This publication was the most successful in the history of the journal; received press coverage in over 100 media, including live on Sky News; had 10,000 reads in its first month; achieved an Altmetric impact score of 954 or the top 0.0001% of all research outputs; featured in numerous overviews of 2020, eg, The Syllabus ‘Highlights from 2020’.]
Dihal, K. (2020) Enslaved Minds: Fictional Artificial Intelligence Uprisings. In AI Narratives: A History of Imaginative Thinking about Intelligent Machines, ed. Cave, S., Dihal, K., & Dillon, S. Oxford: Oxford University Press.
Cave, S., Dihal, K. & Dillon, S. (2020) Imagining AI. In AI Narratives: A History of Imaginative Thinking about Intelligent Machines, ed. Cave, S., Dihal, K., & Dillon, S. Oxford: Oxford University Press.
Rich, A.S., Rudin, C., […] Dihal, K., et al. (2020) AI reflections in 2019. Nature Machine Intelligence 2(1): 2–9. https://doi-org/10.1038/s42256-019-0141-1
Cave, S., Coughlan, K., and Dihal, K. (2019) “Scary Robots”: Examining Public Responses to AI. Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society: 331-337. https://doi.org/10.1145/3306618.3314232
Dihal, K. (2019) New Science, New Stories: Quantum Physics as a Narrative Trope in Contemporary Fiction. In Representations of Science in Twenty-First-Century Fiction: Human and Temporal Connectivities, eds. Engelhardt, N. & Hoydis, J. London: Palgrave Macmillan. https://doi.org/10.1007/978-3-030-19490-1
Cave, S. & Dihal, K. (2019) Hopes and fears for intelligent machines in fiction and reality. Nature Machine Intelligence 1(2): 74-78.
Dihal, K. (2017) The State of the Unions in Literature and Science: On Science Fiction As a Separate Field. Journal of Literature and Science 10(1): 32-36. https://doi.org/10.12929/jls.10.1.07
Dihal, K., Hollanek, T., Rizk, N., Weheba, N., & Cave, S. (2021) Imagining a Future with Intelligent Machines: A Middle Eastern and North African Perspective. University of Cambridge.
[Report launched at the UN AI for Good Global Summit; covered in news media in the MENA region (El Balad, Al Fanar Media).]
Whittlestone, J., Nyrup, R., Alexandrova, A., Dihal, K. & Cave, S. (2019) Ethical and Societal Implications of Algorithms, Data, and Artificial Intelligence: A Roadmap for Research. The Nuffield Foundation.
Craig, C., Cave, S., Dihal, K., Dillon, S., Montgomery, J., Singler, B., & Taylor, L. (2018) Portrayals and Perceptions of AI and why they matter. The Royal Society.