The Moralization of Artificial Intelligence

Resistance to artificial intelligence (AI) is widespread and persists even when AI is shown to be instrumentally advantageous. What explains this persistent aversion? Across four studies, we investigate whether moral reactions to AI—beliefs rooted in deeply held notions of right and wrong—explain resistance beyond pragmatic concerns. In Study 1, we analyze moral language in AI-related news headlines from a major US media corpus (COCA, 2018–2024). AI was moralized at levels comparable to GMOs and vaccines, technologies whose moral opposition has received considerable attention. In Studies 2a, 2b, and 3, representative samples of Americans reported attitudes toward several AI applications. Although few participants opposed AI outright (6–44%), most opponents indicated consequence insensitivity, quantity insensitivity, and universalism, suggesting moral motives for opposing AI. Structural equation models revealed that AI moralization was best captured by a single latent factor, indicating a generalized moral sentiment rather than domain-specific risk–benefit appraisals. Qualitative analyses further showed that moralizers typically invoked pragmatic language to justify their opposition. In Study 4, participants from Studies 2b and 3 were re-recruited 75 and 573 days later to complete a behavioral task. Earlier moralization scores predicted greater reluctance to use AI even when instrumentally beneficial—a one standard deviation increase in moralization corresponded to a 42% decrease in AI usage. Together, these findings demonstrate that AI resistance is partly moral in nature, suggesting that reaping the benefits of AI may require addressing moral concerns rather than relying solely on pragmatic arguments.