Add cognitive and non-cognitive trust
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@ -106,7 +106,43 @@ to the latter category when they are functioning well, but can easily slip into
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the former in the case of a poorly trained machine learning algorithm that
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the former in the case of a poorly trained machine learning algorithm that
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simply classifies pictures of dogs and cats always as dogs, for example.
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simply classifies pictures of dogs and cats always as dogs, for example.
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\textcite{ferrario_ai_2020}
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Scholars usually divide trust either into \emph{cognitive} or
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\emph{non-cognitive} forms. While cognitive trust involves some sort of rational
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and objective evaluation of the trustee's capabilities, non-cognitive trust
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lacks such an evaluation. For instance, if a patient comes to a doctor with a
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health problem which resides in the doctor's domain, the patient will place
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trust in the doctor because of the doctor's experience, track record and
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education. The patient thus consciously decides that he/she would rather trust
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the doctor to solve the problem and not a friend who does not have any
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expertise. Conversely, non-cognitive trust allows humans to place trust in
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people they know well, without a need for rational justification, but just
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because of their existing relationship.
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Due to the different dimensions of trust and its inherent complexity in
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different contexts, frameworks for trust are an active field of research. One
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such framework—proposed by \textcite{ferrario_ai_2020}—will be discussed in
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the following sections.
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\subsection{Incremental Model of Trust}
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The framework by \textcite{ferrario_ai_2020} consists of three types of trust:
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simple trust, reflective trust and paradigmatic trust. Their model thus consists
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of the triple
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\[ T = \langle\text{simple trust}, \text{reflective trust}, \text{paradigmatic
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trust}\rangle \]
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\noindent and a 5-tuple
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\[ \langle X, Y, A, G, C\rangle \]
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\noindent where $X$ and $Y$ denote interacting agents and $A$ the action to be
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performed by the agent $Y$ to achieve goal $G$. $C$ stands for the context in
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which the action takes place.
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\subsubsection{Simple Trust}
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\section{Taxonomy for Trustworthy AI}
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\section{Taxonomy for Trustworthy AI}
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\label{sec:taxonomy}
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\label{sec:taxonomy}
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