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Shannon Vallor claims that today's leading AI systems act as mirrors, extracting patterns from records of human action and projecting them forward, and that the credible existential risk they pose is a diminishment of human moral confidence and imagination rather than machine domination. This review evaluates The AI Mirror from the viewpoint of organizational practice, asking what institutions that took the diagnosis seriously could act on. Its principal strength is what Vallor calls the bootstrapping problem: addressing present crises requires cultivating virtues our institutions do not currently reward, using only the virtues we already possess. Its principal unresolved issue is the gap between her structural description of AI mirrors as backward-facing and her proposal that the same systems can serve recovery and repair, a shift she illustrates but does not demonstrate. The book is significant for reframing AI governance as a question of institutional character rather than technical correction.
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References
Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (pp. 610–623). Association for Computing Machinery. https://doi.org/10.1145/3442188.3445922
Birhane, A. (2021). Algorithmic injustice: A relational ethics approach. Patterns, 2(2), 100205. https://doi.org/10.1016/j.patter.2021.100205
Brynjolfsson, E. (2022). The Turing trap: The promise and peril of human-like artificial intelligence. Daedalus, 151(2), 272–287. https://doi.org/10.1162/daed_a_01915
Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science, 366(6464), 447–453. https://doi.org/10.1126/science.aax2342
Pierson, E., Cutler, D. M., Leskovec, J., Mullainathan, S., & Obermeyer, Z. (2021). An algorithmic approach to reducing unexplained pain disparities in underserved populations. Nature Medicine, 27(1), 136–140. https://doi.org/10.1038/s41591-020-01192-7
United Nations. (2015). Transforming our world: The 2030 agenda for sustainable development (A/RES/70/1). https://sdgs.un.org/2030agenda
Vallor, S. (2024). The AI mirror: How to reclaim our humanity in an age of machine thinking. Oxford University Press. https://doi.org/10.1093/oso/9780197759066.001.0001
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