The Link Between Political Views and Attitudes Toward Artificial Intelligence: A Scoping Review of Existing Evidence and a Theoretical Integration

This scoping review synthesizes empirical evidence on how political views relate to attitudes toward artificial intelligence (AI). Using the PRISMA procedure for scoping reviews, a search of nine databases identified 21 empirical studies that jointly measured political views or related constructs and AI attitudes, including a broad range of AI domains. Findings reveal a patterned heterogeneity: ideological cleavages concentrate in high-stakes application domains with coercive or welfare implications and are attenuated or mixed in lower-stakes domains like consumer services. Across the sampled studies, three mechanisms are repeatedly described or tested toexplain when political views relate to AI attitudes: (1) value-congruence, (2) risk or threat appraisals, and (3) affective pathways potentially activated by dis- or satisfied values or psychological processes. Methodological frictions are posed by heterogeneous measures andWEIRD-skewed convenience samples which constrain cumulation and comparability of empirical results at the current time. The review converts a fragmented literature into a testable integrative framework linking psychological layers of political views to actionable design and communication levers and outlines a testable agenda on the relations between AI attitudes and political views.