Responsibility in the age of the algorithm

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Whether medical diagnostics, forensic analysis or data mining that can engineer human desire in the supermarket and the voting booth, contemporary life is mediated by predictive algorithms. Deep learning programmes with an extraordinary capacity to remember now exceed the human ability to understand and completely control them, and swarms of information assume the status of “intelligence.” However, as information becomes an agent of change can we continue to adjudicate ethical conduct in terms of individual responsibility? Can collaborative research between computing sciences and social sciences enable a more informed public debate about the ethical implications of these developments?

The ideal candidate will demonstrate excellence in research capacity, analytical skills, as well as oral and written communication. In addition, we would expect to see evidence of some or all of the following: literacy in contemporary theoretical analysis of “the two cultures” problem – the intersection of nature and culture; an interest in contemporary debates around information technologies and their social and political implications; a demonstrated ability to translate or apply theoretical concepts into real world contexts; working knowledge of a second language.

Supervisory team

Arts & Social Sciences
University of New South Wales

Arts & Social Sciences
University of New South Wales

University of New South Wales