Our next data science ethics bookclub is on Medicine and AI. You are welcome to pick from this reading list, depending on your interest and the time you have:
Book
- Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again by Eric Topol
Articles
- PublicTechnology.net: Gender bias concerns raised over GP app, by Sam Trendall (2019). Babylon Health app presents different diagnoses for men and women given the same symptoms
- Wired article: Your Facebook Posts Can Reveal If You're Depressed, Robbie Gonzalez. Identifying 'depression markers' from facebook statuses
- NewsDio article: AI surpasses radiologists to detect breast cancer on mammography (2020)
Journal Articles and policy reports
- Collection of articles: The ethics of medical data donation (Open access book). Though this whole collection is good, we recommend this article: The Ethics of Uncertainty for Data Subjects
- Data & Society report: Bias in precision medicine by Kadija Ferryman and Mikaela Pitcan
- Freeman 2019 is a systematic review of AI-based smartphone apps for assessing skin cancer risk.
Podcasts
- HumAIn Podcast: How AI Can Help Prevent the spread of COVID-19 with ElectrifAi's work on Image Recognition (2020). The content on covid-19 starts at about 16:10, and (short) medical imaging section at about 26:20
Quick reads
Supplementary materials
For a google document with these materials and others, go to https://docs.google.com/document/d/1AnUPfd2tsCLv_Dnb9uMOZx30Zb_NFStiouz_es3fV40/edit?usp=sharing