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.

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

SPAGNOLLI, ANNA;CONTI, MAURO;GUERRA, GIORGIA;KIRSH, DAVID;
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.
2017
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9783319577524
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3234221
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