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@ -44,7 +44,7 @@ transformative capabilities of AI are not just felt in the area of computer
science, but have bled into a diverse set of other disciplines such as biology,
chemistry, mathematics and economics. For the purposes of this work, AIs are
machines that can learn, take decision autonomously and interact with the
environment~\cite{russell_artificial_2021}.
environment~\cite{russellArtificialIntelligenceModern2021}.
While the possibilities of AI are seemingly endless, the public is slowly but
steadily learning about its limitations. These limitations manifest themselves
@ -121,14 +121,14 @@ because of their existing relationship.
Due to the different dimensions of trust and its inherent complexity in
different contexts, frameworks for trust are an active field of research. One
such framework—proposed by \textcite{ferrario_ai_2020}—will be discussed in
such framework—proposed by \textcite{ferrarioAIWeTrust2020}—will be discussed in
the following sections.
\subsection{Incremental Model of Trust}
The framework by \textcite{ferrario_ai_2020} consists of three types of trust:
simple trust, reflective trust and paradigmatic trust. Their model thus consists
of the triple
The framework by \textcite{ferrarioAIWeTrust2020} consists of three types of
trust: simple trust, reflective trust and paradigmatic trust. Their model thus
consists of the triple
\[ T = \langle\text{simple trust}, \text{reflective trust}, \text{paradigmatic
trust}\rangle \]
@ -171,7 +171,7 @@ trust $Y$ to perform a given task because of other, potentially unconscious,
reasons.
\subsubsection{Pragmatic Trust} is the last form of trust in the incremental
model proposed by \cite{ferrario_ai_2020}. In addition to having objective
model proposed by \cite{ferrarioAIWeTrust2020}. In addition to having objective
reasons to trust $Y$, $X$ is also willing to do so without control. It is thus a
combination of simple trust and reflective trust. Simple trust provides the
non-cognitive, non-controlling aspect of trust and reflective trust provides the