In David Boonin, Katrina L. Sifferd, Tyler K. Fagan, Valerie Gray Hardcastle, Michael Huemer, Daniel Wodak, Derk Pereboom, Stephen J. Morse, Sarah Tyson, Mark Zelcer, Garrett VanPelt, Devin Casey, Philip E. Devine, David K. Chan, Maarten Boudry, Christopher Freiman, Hrishikesh Joshi, Shelley Wilcox, Jason Brennan, Eric Wiland, Ryan Muldoon, Mark Alfano, Philip Robichaud, Kevin Timpe, David Livingstone Smith, Francis J. Beckwith, Dan Hooley, Russell Blackford, John Corvino, Corey McCall, Dan Demetriou, Ajume Wingo, Michael Shermer, Ole Martin Moen, Aksel Braanen Sterri, Teresa Blankmeyer Burke, Jeppe von Platz, John Thrasher, Mary Hawkesworth, William MacAskill, Daniel Halliday, Janine O’Flynn, Yoaav Isaacs, Jason Iuliano, Claire Pickard, Arvin M. Gouw, Tina Rulli, Justin Caouette, Allen Habib, Brian D. Earp, Andrew Vierra, Subrena E. Smith, Danielle M. Wenner, Lisa Diependaele, Sigrid Sterckx, G. Owen Schaefer, Markus K. Labude, Harisan Unais Nasir, Udo Schuklenk, Benjamin Zolf & Woolwine (eds.), The Palgrave Handbook of Philosophy and Public Policy. Springer Verlag. pp. 593-607 (2018)
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| Abstract |
We live in the Information Age. Advances over the past 50 years in computing technology have enabled ever-expanding capacity to generate, store, transfer, process and analyse information about people, societies, products, services, the environment—nearly every aspect of the world. In parallel, concerns over how such data is being used have emerged, focusing especially on issues of privacy and confidentiality. Yet as technological capabilities continue to expand, the debate over ethical uses of data inevitably has evolved as well. Whereas we used to just talk about data, now there is great concern over Big Data. This chapter explores what, exactly, Big Data is; the ethical ramifications of its emergence, particularly for consent and anonymization; and what sorts of policy solutions are being proposed to address these emerging challenges. We will not defend one particular approach, but hope this chapter can be a useful reference for those who are contemplating difficult questions surrounding responsible management of Big Data.
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| DOI | 10.1007/978-3-319-93907-0_45 |
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