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Engineering Adaptivity, Universal Autonomous Systems Ethics and Compliance Issues

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Published in Leveraging Applications of Formal Methods, Verification and Validation: Foundational Techniques. Corfu, Greece - October 10–14, 2016 - Cham: Springer International Publishing. 2016
Abstract This paper summarises some of the discussion held during the panel of the ISOLA’2016 conference on whether artificial systems actually adapt to unforeseen situations and whether we master autonomous adaptive systems. We focus here on three questions: (1) What is a collective adaptive system and what are the elements to consider when engineering a collective adaptive system? (2) What type of universal autonomous system can we envision and what for? and finally (3) How are we considering and integrating ethics, trust, privacy and compliance to laws and regulations in adaptive systems?
Keywords adaptive autonomous systems
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ISBN: 978-3-319-47165-5
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Proceedings chapter (Author postprint) (428 Kb) - document accessible for UNIGE members only Limited access to UNIGE (until 2018-02-07)
Other version: http://link.springer.com/10.1007/978-3-319-47166-2_50
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Research group Institute of Information Service Science (ISS)
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(ISO format)
DI MARZO SERUGENDO, Giovanna. Engineering Adaptivity, Universal Autonomous Systems Ethics and Compliance Issues. In: Leveraging Applications of Formal Methods, Verification and Validation: Foundational Techniques. Corfu, Greece. Cham : Springer International Publishing, 2016. https://archive-ouverte.unige.ch/unige:91743

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Deposited on : 2017-02-07

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