AI Beliefs: A Two-Layer Model Explaining Public Skepticism

People often feel uneasy about artificial intelligence. Even though these tools can boost economies and improve lives, many still worry about them. Workers and regular folks tend to focus on possible downsides rather than benefits. This skepticism creates resistance to new technologies across society.

Researchers propose a two-layer framework to understand this pattern. The first layer looks at deep-seated psychological tendencies toward change. It explains why humans naturally fear loss when facing new tech. The second layer examines how specific contexts shape our views on AI. Some situations make us more worried, while others calm our fears.

By combining both layers, scholars can see how individual mindset meets real-world circumstances. This approach helps explain why some groups embrace AI quickly while others hesitate. Understanding these dynamics matters for policy makers and anyone trying to navigate the digital age wisely. The model shows that neither psychology alone nor context alone fully explains public attitudes.

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