2016
DOI: 10.1109/access.2016.2571058
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A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data

Abstract: Despite the advances made in artificial intelligence, software agents, and robotics, there is little we see today that we can truly call a fully autonomous system. We conjecture that the main inhibitor for advancing autonomy is lack of trust. Trusted autonomy is the scientific and engineering field to establish the foundations and ground work for developing trusted autonomous systems (robotics and software agents) that can be used in our daily life, and can be integrated with humans seamlessly, naturally and e… Show more

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Cited by 27 publications
(21 citation statements)
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“…This then raises the question of how changes in these properties can affect trustworthiness. Trust itself is a multifaceted concept, including properties such as reliability, privacy, security, safety, complexity, risk, and free will [3]. We now consider how the properties of motivated agents considered in Sect.…”
Section: Implications Of Motivation On Trustmentioning
confidence: 99%
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“…This then raises the question of how changes in these properties can affect trustworthiness. Trust itself is a multifaceted concept, including properties such as reliability, privacy, security, safety, complexity, risk, and free will [3]. We now consider how the properties of motivated agents considered in Sect.…”
Section: Implications Of Motivation On Trustmentioning
confidence: 99%
“…When a trustor trusts a trustee, the trusting relationship may involve transfer of data. Any misuse of this data outside terms of the trusting contract is a breach of privacy [3]. Security has broader connotations and, while including confidentiality, also concerns the integrity and continued availability of data.…”
Section: Implications For Privacy and Securitymentioning
confidence: 99%
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