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Towards Trustworthy...
Towards Trustworthy Autonomous Systems : Taxonomies and Future Perspectives
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- Flammini, Francesco, Senior Lecturer, 1978- (författare)
- Mälardalens universitet,Innovation och produktrealisering
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- Alcaraz, Cristina (författare)
- Univ Malaga, Comp Sci Dept, Malaga 29016, Spain.
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- Bellini, Emanuele (författare)
- Univ Roma Tre, DHLab, I-00154 Rome, Italy.;LOGOS Res & Innovat, I-50121 Florence, Italy.
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- Marrone, Stefano (författare)
- Univ Campania Luigi Vanvitelli, Dept Math & Phys, I-81100 Caserta, Italy.
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- Lopez, Javier (författare)
- Univ Malaga, Comp Sci Dept, Malaga 29016, Spain.
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- Bondavalli, Andrea (författare)
- Univ Florence, Dept Math & Informat, Florence, Italy.
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(creator_code:org_t)
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2024
- 2024
- Engelska.
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Ingår i: IEEE Transactions on Emerging Topics in Computing. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 2168-6750. ; 12:2, s. 601-614
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The class of Trustworthy Autonomous Systems (TAS) includes cyber-physical systems leveraging on self-x technologies that make them capable to learn, adapt to changes, and reason under uncertainties in possibly critical applications and evolving environments. In the last decade, there has been a growing interest in enabling artificial intelligence technologies, such as advanced machine learning, new threats, such as adversarial attacks, and certification challenges, due to the lack of sufficient explainability. However, in order to be trustworthy, those systems also need to be dependable, secure, and resilient according to well-established taxonomies, methodologies, and tools. Therefore, several aspects need to be addressed for TAS, ranging from proper taxonomic classification to the identification of research opportunities and challenges. Given such a context, in this paper address relevant taxonomies and research perspectives in the field of TAS. We start from basic definitions and move towards future perspectives, regulations, and emerging technologies supporting development and operation of TAS.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Taxonomy
- Resilience
- Computer security
- Unified modeling language
- Analytical models
- Safety
- Trustworthy autonomous systems
- dependability
- cyber-resilience
- cybersecurity
- artificial intelligence
- intelligent systems
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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