The digitalization of society comes with a range of consequences, most of them, yet unknown. And, as algorithms, machine learning and other, so called, intelligent solutions are the new frontier of the digital, this unknown have attracted an almost mystical appearance. This reading list contains articles and literature which spells out the mystery and explains what the hype is about.

Scholary literature

Amelang, K. & Bauer, S. (2019). Follow the algorithm. How risk scores do accountability. Social Studies of Science, Volume: 49, issue 4, pp. 476-502.

Bozdag, E. (2013). ‘Bias in Algorithmic Filtering and Personalization, Ethics and Information Technology 15 (3): 209-27.

Dourish, P. (2016). Algorithms and their others: Algorithmic culture in context. Big Data & Society, 3(2).

Edwards, P. N. (2018, December). We Have Been Assimilated: Some Principles for Thinking About Algorithmic Systems. In Working Conference on Information Systems and Organizations (pp. 19-27). Springer, Cham.

Floridi, L. et Al. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689-707.

Galloway, A. R. (2006). Gaming: Essays on algorithmic culture (Vol. 18). U of Minnesota Press.

Gillespie, T. (2014). The relevance of algorithms. Media technologies: Essays on communication, materiality, and society, 167.

Janssen, M., & Kuk, G. (2016). The challenges and limits of big data algorithms in technocratic governance, Governance Information Quarterly, 33(3), 371-377

Kitchin, R. (2016). Thinking critically about and researching algorithms. Information, Communication & Society, 1-16.

Kushner, S. (2013). The freelance translation machine: Algorithmic culture and the invisible industry. New Media & Society, 15(8), 1241-1258.

Orlikowski, W. J., & Scott, S. V. (2015). The algorithm and the crowd: considering the materiality of service innovation. Management Information Systems Quarterly, 39(1), 201–216.

Presser, L., Hruskova, M. Rowbottom, H. & Kancir (2015). Care.data and access to UK health records: patient privacy and public trust. Technology Science

Rahwan, I. (2018). Society-in-the-loop: programming the algorithmic social contract. Ethics and Information Technology, 20(1), 5-14.

Striphas, T. (2015). Algorithmic culture. European Journal of Cultural Studies, 18(4–5), 395–412.

Ulbricht, L., & von Grafenstein, M. (2016). Big data: big power shifts. Internet Policy Review, 4(1).

Ziewitz, M. (2016). Governing Algorithms: Myth, Mess, and Methods. Science, Technology, & Human Values 41 (1) 3 – 16.

Zuboff, S. (2015). Big other: surveillance capitalism and the prospects of an information civilization. Journal of Information Technology, 30(1), 75-89.

Books

Amoore, L. and Piotikh, V. (2016). Algorithmic Life. Calculative devices in the age of big data. Routledge.

Bucher, T. (2018). If… Then: Algorithmic power and politics. Oxford University Press

Dourish, P. (2017). The stuff of bits: An essay on the materialities of information. MIT Press

Dussauge, I., Helgesson, C.-F., & Lee, F. (Eds.). (2015). Value Practices in the Life Sciences and Medicine. Oxford: Oxford University Press.

Harcourt, B. E. (2008) Against Prediction: profiling, policing and punishing in an actuarial age. University of Chicago Press

Mackenzie, A. (2017). Machine Learners. Archaeology of a Data Practice. MIT Press.

Neyland, D. (2019). The Everyday Life of Algorithms. Palgrave Pivot.

Pariser, E (2011). The Filter Bubble: how the new personalized web is changing what we read and how we think. Penguin

Srnicek, N. (2017). Platform capitalism. John Wiley & Sons

Susskind, J. (2018). Future politics: Living together in a world transformed by tech. Oxford University Press.

Zuboff, S. (2019). The age of surveillance capitalism: the fight for the future at the new frontier of power. Profile Books

Popular science literature (in chronological order)

Jonathan Zittrain, The Hidden Costs of Automated Thinking, The New Yorker, July 23, 2019.

Zachary Mack, Shoshana Zuboff on surveillance capitalism, The Verge, Mar 26, 2019.

Reports

Burr, C., Taddeo, M., & Floridi, L. (2019). The Ethics of Digital Well- Being: A Thematic Review. Available at SSRN 3338441.

The White House (2016) Big Data: A Report on Algorithmic Systems, Opportunity and Civil Rights. Executive Office of the President, May 2016.

Other resources

datasociety.net :Data & Society is an independent nonprofit research institute that advances public understanding of the social implications of data-centric technologies and automation.