But to what extent are algorithms fair and transparent? And what consequences can there be if they are not? Can justice be programmed? We discuss these questions and more in this CAISzeit with Miriam Fahimi.
Recommendations on the topic
Research:
- Digital Age Research Centre (D!ARC), University of Klagenfurt. https://www.aau.at/digital-age-research-center/
- Meisner, C., Duffy, B. E., & Ziewitz, M. (2022). The labour of search engine evaluation: Making algorithms more human or humans more algorithmic? New Media & Society. https://doi.org/10.1177/14614448211063860
- Poechhacker, N., Burkhardt, M., & Passoth, J.-H. (2024). 10. Recommender Systems beyond the Filter Bubble: Algorithmic Media and the Fabrication of Publics. In J. Jarke, B. Prietl, S. Egbert, Y. Boeva, H. Heuer, & M. Arnold (Eds.), Algorithmic Regimes (pp. 207-228). Amsterdam University Press. https://doi.org/10.1515/9789048556908-010
Popular science literature:
- Crawford, K. (2021). Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press.
- Website of Kate Crawford. https://katecrawford.net
Documentary film:
- Coded Bias (German: Vorprogrammierte Diskriminierung; available on Netflix): This documentary examines the biases in algorithms that MIT Media Lab researcher Joy Buolamwini exposed in facial recognition systems. https://www.netflix.com/de/title/81328723
Newsletter:
- AI Snake Oil by Arvind Narayanan & Sayash Kapoor. https://www.aisnakeoil.com
- Ticker from D64 – Centre for Digital Progress: https://kontakt.d-64.org/ticker/
