Resources

Here are links to key papers, articles and books relating to the project’s research questions.

• Ananny, Mike (2016) ‘Toward an Ethics of Algorithms: Convening, Observation, Probability, and Timeliness‘. Science, Technology and Human Values 41(1): 93-117

• Burrell, Jenna (2016) ‘How the machine “thinks”: Understanding Opacity in Machine Learning Algorithms‘. Big Data and Society DOI: 10.1177/2053951715622512

• Crawford, Kate (2016). ‘Can an Algorithm be Agonistic? Ten Scenes from Life in Calculated Publics‘. Science, Technology and Human Values 41(1): 77-92.

• Danaher, John (2016) ‘The Threat of Algocracy: Reality, Resistance and Accomodation‘. Philosophy and Technology DOI: 10.1007/s13347-015-0211-1 (Preprint 1: Preprint 2)

• Danaher, John (2016) ‘Will life be worth living in a world without work? Technological Unemployment and the Meaning of Life‘. Science and Engineering Ethics DOI: 10.1007/s11948-016-9770-5 (Preprint 1: Preprint 2)

• Kitchin, Rob (2014). The Data Revolution. London: Sage

• Kitchin, Rob (2014) ‘Thinking Critically About and Researching Algorithms‘. Programmable City Working Paper 4.

• Kitchin, Rob (2014) ‘Big Data, New Epistemologies and Paradigm Shifts‘ Big Data and Society DOI: 10.1177/2053951714528481

• Neyland, Daniel (2016) ‘Bearing Account-able Witness to the Ethical Algorithmic System‘. Science, Technology and Human Values 41(1): 50-76

• Zarsky, Tal (2016). ‘The Trouble with Algorithmic Decisions: An Analytic Road Map to Examine Efficiency and Fairness in Automated and Opaque Decision Making‘ Science, Technology and Human Values 41(1): 118-132

• Zarsky, Tal (2014) ‘Understanding Discrimination in the Scored Society‘. Washington Law Review 89(4): 1375

• Zarsky, Tal (2013) ‘Transparent Predictions‘. University of Illinois Law Review Vol 4, 2013 pp 1503-1570