BETWEEN ENTHUSIASM AND SCEPTICISM: A MATRIX APPROACH TO ATTITUDES TOWARDS ARTIFICIAL INTELLIGENC
DOI:
https://doi.org/10.46763/Schlagwörter:
artificial intelligence (AI), attitudes towards technology, affective and epistemic dimension, conceptual models, social perception of technologyAbstract
The aim of the analysis is to present an original conceptual model
for interpreting attitudes towards artificial intelligence, presented
in the form of a two-dimensional matrix. The proposed matrix is
based on the distinction between two relatively autonomous
dimensions: affective (from lack of trust to full trust) and epistemic
(from weak to in-depth narration resulting from knowledge of AI).
Such an approach is justified in classical theories of attitudes
(Rosenberg and Hovland) and in research on the perception of
technological risk (Slovic), which emphasize the importance of
both the emotional and cognitive components in shaping the
assessment of technology. As a result of the intersection of the two
dimensions, four ideal-typical models of approach to AI were
distinguished: dogmatic enthusiasm, critical thinking, anxious
thinking model and scepticism. This model captures the
complexity and ambivalence of attitudes, going beyond onedimensional shots based on a simple "positive-negative"
continuum. The reflection is theoretical in nature and focuses on
the methodological justification and analytical potential of the
proposed matrix. At the same time, the model serves as the basis
for current international empirical research in European Union
countries, including in-depth interviews (IDIs), survey research,
and focus group interviews (FGIs). The analysis primarily aims to
approximate the model's structure and to indicate its applications
in the analysis of social representations of artificial intelligence.
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