“Siri, Show Me Scary Images of AI”: Effects of Text-Based Frames and Visuals on Support for Artificial Intelligence | Semantic Scholar (2024)

Analysis of patterns of media use and exposure to media messages are related to attitudes about artificial intelligence (AI) image generators shows that technology news use and science fiction viewing predicted support for AI art but also predicted belief that AI image generators will take jobs and steal art styles from human artists.

Responses invoked social progress and Pandora’s box frames for AI, and technology news use predicted mentioning each frame, while science fiction viewing and discussing technology were conditionally related to such change.

It is shown that those who imagined a caring motive for the AI perceived it as more trustworthy, empathetic, and better-performing, and that the effects of priming and initial mental models were stronger for a more sophisticated AI model.

It is shown that those who perceived a caring motive for the AI also perceived it as more trustworthy, empathetic and better-performing, and that the effects of priming and initial mental models were stronger for a more sophisticated AI model.

A two-wave national panel of U.S. adults ages 50’years and older is used to examine the mechanism through which exposure to source-specific news outlets affected willingness to participate in medical research for COVID-19 and Alzheimer’s disease, both of which afflicts millions of older adults.

Results indicated that business and technology were the primary topics in news coverage of AI, and the benefits of AI were discussed more frequently than its risks, but risks were generally discussed with greater specificity.

A broad look at the American public’s attitudes toward artificial intelligence (AI) and AI governance, based on findings from a nationally representative survey of 2,000 American adults, provides preliminary insights into the character of US public opinion regarding AI.

The findings indicate that news images and texts that focus on climate-oriented actions can increase hope and, in the case of texts, decrease fear and anger, and these effects generally hold across the ideological spectrum.

It is found that discussion of AI has increased sharply since 2009, and that these discussions have been consistently more optimistic than pessimistic, however, when it comes to specific concerns, worries of loss of control of AI, ethical concerns for AI, and the negative impact of AI on work have grown in recent years.

These questions are addressed by incorporating 2 dynamics, typically ignored in extant work: information competition and over-time processes, and bring together literatures on information, framing, and motivated reasoning.

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