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Adapting the system to users based on implicit data: Ethical risks and possible solutions

Capitolo di libro
Data di Pubblicazione:
2017
Abstract:
Symbiotic systems are systems that gather personal data implicitly provided by the user, derive a profile/model of the user from such data and adjust their output/service according to their notion of what would be desirable to the user thus modeled. Because of these three characteristics, symbiotic systems represent a step forward towards facilitated, simplified, user-friendly digital devices, or do they? Here we propose three cases describing realistic applications of symbiotic systems that potentially encapsulate some serious risk to their users. Experts of five different domains (i.e., ethics, security, law, human-computer interaction and psychology) dissect each case to identify the risks to the users and derive some possible minimization strategies. This panel aims at contributing to a beneficial development of symbiotic systems as it can be achieved by increasing users’ discernment and awareness of their consequences for society and everyday life.
Tipologia CRIS:
2.1 Contributo in volume (Capitolo o Saggio)
Keywords:
Awareness; Design; Ethics; Implicit data; Information leakage; Privacy; Risks; Security; Symbiotic system; Theoretical Computer Science; Computer Science (all)
Elenco autori:
Spagnolli, Anna; Conti, Mauro; Guerra, Giorgia; Freeman, Jonathan; Kirsh, David; Van Wynsberghe, Aimee
Autori di Ateneo:
GUERRA GIORGIA
Link alla scheda completa:
https://iris.uniecampus.it/handle/11389/86213
Titolo del libro:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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URL

http://springerlink.com/content/0302-9743/copyright/2005/
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