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Ontology-Based Modeling and Analysis of Trustworthiness Requirements: Preliminary Results

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Conceptual Modeling (ER 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12400))

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Abstract

The advent of Artificial Intelligence (AI) technologies has made it possible to build systems that diagnose a patient, decide on a loan application, drive a car, or kill an adversary in combat. Such systems signal a new era where software-intensive systems perform tasks that were performed in the past only by humans because they require judgement that only humans possess. However, such systems need to be trusted by their users, in the same way that a lawyer, medical doctor, driver or soldier is trusted in performing the tasks she is trained for. This creates the need for a new class of requirements, Trustworthiness Requirements, that we have to study in order to develop techniques for their elicitation, analysis and operationalization. In this paper, we propose a foundation to develop such techniques. Our work is based on an Ontology of Trust that answers questions about the nature of trust and the factors that influence it. Based on the answers, we characterize the class of trustworthiness requirements. Among other things, this characterization supports the requirements engineer in defining thurstworthiness requirements, identifying the risks presented by the system-to-be, and understanding the signals the system must emit to gain and maintain trust.

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Acknowledgment

CAPES (PhD grant# 88881.173022/2018-01) and OCEAN project (UNIBZ).

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Authors and Affiliations

  1. CORE/KRDB, Free University of Bozen-Bolzano, Bolzano, Italy

    Glenda Amaral & Giancarlo Guizzardi

  2. NEMO/UFES, Espírito Santo (UFES), Vitoria, Brazil

    Renata Guizzardi

  3. University of Ottawa, Ottawa, Canada

    John Mylopoulos

Authors
  1. Glenda Amaral
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  2. Renata Guizzardi
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  3. Giancarlo Guizzardi
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  4. John Mylopoulos
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Corresponding author

Correspondence to Glenda Amaral .

Editor information

Editors and Affiliations

  1. University of Auckland, Auckland, New Zealand

    Gillian Dobbie

  2. University of Duisburg-Essen, Essen, Germany

    Ulrich Frank

  3. TU Wien, Vienna, Austria

    Gerti Kappel

  4. Brigham Young University, Provo, UT, USA

    Stephen W. Liddle

  5. University of Klagenfurt, Klagenfurt am Wörthersee, Austria

    Heinrich C. Mayr

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Amaral, G., Guizzardi, R., Guizzardi, G., Mylopoulos, J. (2020). Ontology-Based Modeling and Analysis of Trustworthiness Requirements: Preliminary Results. In: Dobbie, G., Frank, U., Kappel, G., Liddle, S.W., Mayr, H.C. (eds) Conceptual Modeling. ER 2020. Lecture Notes in Computer Science(), vol 12400. Springer, Cham. https://doi.org/10.1007/978-3-030-62522-1_25

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  • DOI: https://doi.org/10.1007/978-3-030-62522-1_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62521-4

  • Online ISBN: 978-3-030-62522-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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