Algorithmic Accountability and Public Reason

Author:

Binns ReubenORCID

Funder

Engineering and Physical Sciences Research Council

Publisher

Springer Science and Business Media LLC

Subject

History and Philosophy of Science,Philosophy

Reference59 articles.

1. Ananny, M., & Crawford, K. (2017). Seeing without knowing: limitations of the transparency ideal and its application to algorithmic accountability. New Media & Society, 0(0), 1461444816676645.

2. Anderson, C. W. (2011). Deliberative, agonistic, and algorithmic audiences: journalism’s vision of its public in an age of audience transparency. International Journal of Communication Systems, 5(0), 19.

3. Barocas, S., & Selbst, A. D.. (2016). “Big Data’s Disparate Impact.” https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2477899 .

4. Bostrom, N. (2003). “Ethical Issues in Advanced Artificial Intelligence.” Science Fiction and Philosophy: From Time Travel to . books.google.com. https://books.google.com/books?hl=en&lr=&id=Ip2WEFOX9csC&oi=fnd&pg=PA277&dq=Bostrom+paperclip&ots=wI2Cg9sTkE&sig=jKcGPM1HDAQEsuqJCCnlOFl10nY .

5. Bovens, M., Goodin, R. E., & Schillemans, T. (2014). The Oxford handbook of public accountability. Oxford: OUP Oxford.

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