Naslov
Predictive Analytics and Theories of Privacy

Autori
Bracanović, Tomislav

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, ostalo, znanstveni

Izvornik
Bled Philosophical Conferences. Ethical Issues: Theoretical & Applied / - , 2018

Skup
Predictive Analytics and Theories of Privacy

Mjesto i datum
Bled, Slovenija, 04.06.2018. - 08.06.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Podatak o recenziji nije dostupan

Ključne riječi
Predictive analytics, privacy, ethics

Sažetak
The question to be addressed in the presentation is whether use of predictive analytics poses a threat to privacy, as it is frequently suggested in both scholarly publications and the media. The first part of the presentation is a basic description of predictive analytics (various techniques of analyzing large amounts of data in order predict future events, human behavior and preferences included) and some of its best-known uses (like targeted advertising, crime prevention and political campaigning). In the second part of the presentation, selected uses of predictive analytics are analyzed against a number of theories of privacy, proposed by both legal scholars (Samuel Warren and Louis Brandeis [1890], William Prosser [1960] and Richard Posner [1978]) and philosophers (Judith Jarvis Thomson [1975], James Rachels [1975] and Jeffrey Reiman [1976]). It will be argued that none of these theories provides a solid ground for the claim that predictive analytics poses a threat to privacy as such or – alternatively – to some of its constitutive elements (like property rights, personhood or the capacity for intimate relationships). In the third and final part of the presentation it is discussed why the language of privacy and individual rights may not be the best tool for conceptualizing moral and legal threats associated with predictive analytics and related technologies.

Izvorni jezik
Engleski

Znanstvena područja
Filozofija

POVEZANOST RADA