The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust

By Astrid Schepman, Paul Rodway. International journal of human computer interactions, 2022

387 citations recorded by the source corpus.

Abstract Acceptance of Artificial Intelligence (AI) may be predicted by individual psychological correlates, examined here. Study 1 reports confirmatory validation of the General Attitudes towards Artificial Intelligence Scale (GAAIS) following initial validation elsewhere. Confirmatory Factor Analysis confirmed the two-factor structure (Positive, Negative) and showed good convergent and divergent validity with a related scale. Study 2 tested whether psychological factors (Big Five personality traits, corporate distrust, and general trust) predicted attitudes towards AI. Introverts had more positive attitudes towards AI overall, likely because of algorithm appreciation. Conscientiousness and agreeableness were associated with forgiving attitudes towards negative aspects of AI. Higher corporate distrust led to negative attitudes towards AI overall, while higher general trust led to positive views of the benefits of AI. The dissociation between general trust and corporate distrust may reflect the public’s attributions of the benefits and drawbacks of AI. Results are discussed in relation to theory and prior findings.

Subfields: Applied Psychology, Cognitive Neuroscience, Social Psychology

View Paper: https://www.semanticscholar.org/paper/a2f4115fb68b293b574fcbff40f3570f3a4a2a9f

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Citations in the corpus

A Systematic Literature Review of User Trust in AI-Enabled Systems: An HCI Perspective (2022, methodology): “A validated tool that allows empirical measurement of user trust across environments and contexts (Schepman & Rodway, 2022), such as the 12-item Human-Computer Trust Scale (HCTS) by Gulati et al. (2019), may be used to address this concern.”
The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence (2022, methodology): “Following reasoning, prior research and findings set out in Schepman and Rodway (2022; see Table 6 therein for an overview), it was predicted that higher openness to experience would be predictive of higher scores on the positive GAAIS, higher conscientiousness, and agree-ableness of higher scores…”