Recommended literature
Browse below literature relevant for a variety of scenarios as recommended by our researchers.
Which book on AI would your recommend to a BA student who is new to the field?
Jojanneke Drogt:
Knaap, G. van der (2022). Van Aristoteles tot Algoritme: Filosofie van de Kunstmatige Intelligentie [English translation of the title (unfortunately there is no English version yet!): From Aristotle to Algorithm: Philosophy of Artificial Intelligence]. Boom Uitgevers Amsterdam.
Karin Jongsma:
Fry, H. (2018). Hello World: How to be Human in the Age of the Machine. Black Swan.
Flora Lysen:
Broussard, M. (2019). Artificial Unintelligence: How Computers Misunderstand the World. MIT Press.
Megan Milota:
I’m not sure to be honest, I think it would depend on the student’s interests and field of expertise.
Sally Wyatt:
O’Neil, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown Publishing.
What book would you recommend to colleagues in your field?
Jojanneke Drogt:
Berg, M. (1997). Rationalizing Medical Work: Decision-support Techniques and Medical Practices. MIT press.
Karin Jongsma:
Christian, B. (2020). The Alignment Problem: Machine Learning and Human Values. W. W. Norton & Company.
Flora Lysen:
Amoore, L. (2020). Cloud Ethics: Algorithms and the Attributes of Ourselves and Others. Duke University Press.
Megan Milota:
Richard Powers' Galatea 2.2 (see my recommendation below)! Sometimes fiction can provide the perfect lens for critical reflection.
Sally Wyatt:
Collins, H. M. (1990). Artificial Experts. Social Knowledge and Intelligent Machines. MIT Press.
Can you give an example of an academic paper in the field of AI in health that you found insightful or original?
Jojanneke Drogt:
It’s not just on medical AI, but I found this article interesting and relevant to AI in medicine: Proudfoot, D. (2011). Anthropomorphism and AI: Turing’s much misunderstood imitation game. Artificial Intelligence, 175(5-6), 950-957.
Karin Jongsma:
London, A. J. (2019). Artificial Intelligence and Black-Box Medical Decisions: Accuracy versus Explainability. Hastings Center Report, 49(1), 15– 21.
Flora Lysen:
Radin, J. (2017). “Digital Natives”: How Medical and Indigenous Histories Matter for Big Data. Osiris, 32(1), 43–64.
Megan Milota:
I love Marthe Stevens, Rik Wehrens, and Antoinette de Bont's 2018 article: Conceptualizations of Big Data and their epistemological claims in healthcare: A discourse analysis. Very original in both method and presentation.
Sally Wyatt:
Bergquist, M., & Rolandsson, B. (2022). Exploring ADM in Clinical Decision-Making. Healthcare experts encountering digital automation. In S. Pink, M. Berg, D. Lupton, & M. Ruckenstein (Eds.), Everyday Automation. Experiencing and Anticipating Emerging Technologies (pp. 140–153). Routledge.
What is your favourite podcast that (directly or indirectly) relates to AI / image-based medicine / digital health?
Jojanneke Drogt:
I am now listening to Countercurrent, a podcast were surgeon and academic Professor Roger Kneebone has conversations with interesting individuals on widespread topics. In one of the conversations, he for instance discusses the expertise of pathologists with Anna Batistatou.
Karin Jongsma:
I’m not much of a podcast listener in general, and don’t have any recommendations for AI related podcasts.
Flora Lysen:
Peoples & Things is a podcast in which host Lee Vinsel interviews scholars, practitioners, and activists about human life with technology. Tech Won’t Save Us is left-wing podcast for better technology and a better world. Another great podcast that takes a feminist approach to understanding technology is The Good Robot.
Megan Milota:
Instead of a podcast, I’d like to mention Black Mirror here. Many episodes related to AI, always engaging and thought-provoking. I also enjoy the Lex Fridman Podcast; for instance his interview with Max Tegmark.
Sally Wyatt:
I’m too old for podcasts. I listen to the radio, and like to be surprised. There is a very good series called The Digital Human, which has lots of relevant episodes available for download, so I guess we call them podcasts.
Which fiction books related to AI or health would like to recommend?
Jojanneke Drogt:
Lem, S. (1974/1965). The Cyberiad [Original Polish: Cyberiada]. Harcourt Brace.
Karin Jongsma:
McEwan, I. (2019). Machines Like Me. Jonathan Cape.
Flora Lysen:
Ishiguro, K. I. (2021). Klara and the Sun. Faber.
Megan Milota:
My favorite AI novel is Richard Powers’ Galatea 2.2. It was written in 1995, but it stays relevant and impactful. What about film? I think 2001: A Space Odyssey should be part of the standard curriculum. For everyone.
Sally Wyatt:
Maybe others will mention Klara and the Sun by Kazuo Ishiguro, and Machines Like Me by Ian McEwan. Otherwise – a bit more obscure – Philip K Dick (1969) Galactic Pot-Healer (generally very dystopian but a funny scene about machine translation).