Type

Conference Proceedings

Authors

David Lewis
Harshvardhan Jitendra Pandit

Subjects

Computer Science

Topics
personalisation social perception web black mirror innovation ethics user profiling data protection

Ease and Ethics of User Profiling in Black Mirror (2018)

Abstract The use of personal data is a double-edged sword that on one side provides benefits through personalisation and user profiling, while the other raises several ethical and moral implications that impede technological progress. Laws often try to reflect the shifting values of social perception, such as the General Data Protection Regulation (GDPR) catering to explicit consent over use of personal data, though actions may still be legal without being perceived as acceptable. Black Mirror is a TV series that serves to imagine scenarios that test the boundary of such perceptions, and is often described as being futuristic. In this paper, we discuss how existing technologies have already coalesced towards calculating a probability metric or rating as presented by the episode 'Nosedive'. We present real-world instances of such technologies and their applications, and how they can be easily expanded using the interminable web. The dilemma posed by the ethics of such technological applications is discussed using the 'Ethics Canvas', our methodology and tool for encouraging discussions on ethical implications in responsible innovation.
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Full list of authors on original publication

David Lewis, Harshvardhan Jitendra Pandit

Experts in our system

1
David Lewis
Trinity College Dublin
Total Publications: 86
 
2
Harshvardhan Jitendra Pandit
Trinity College Dublin
Total Publications: 29