Many people’s trust in artificial intelligence drops as they become more familiar with it. That’s the surprising finding from recent research. AI companies often hype their products as groundbreaking and almost magical. They say AI will change everything, justifying huge investments in powerful and resource-heavy models. But when users start to understand what AI really is — mainly pattern-matching algorithms, not sentient beings — their fascination can fade.

More Knowledge Leads to Less Trust

A study published in the Journal of Marketing looked at how familiarity affects trust in AI. The researchers found that people with less understanding of AI tend to be more excited about it. They see AI as something magical — a tool that can do tasks that seem to require human intelligence. These folks often feel awe when AI appears to perform complex skills. In contrast, those with more knowledge about AI tend to be more skeptical. They understand its limitations and are less likely to be dazzled by its “magic.”

Implications for Students and Future Workers

This is especially important because lots of students use AI tools without really understanding how they work. Many rely on AI to write papers or do research, often without knowing its true nature. This can lead to over-reliance, making it harder for students to develop critical thinking and writing skills. As they grow up and join the workforce, these habits could stick. They might continue to depend heavily on AI, even when it’s not appropriate or reliable.

The Dilemma of AI Literacy

Experts say that understanding what AI does behind the scenes could help people make smarter choices. Stephanie Tully, a marketing professor at USC, explained that when people don’t know how AI works, it feels more “magical” and appealing. This feeling can make users more willing to use it, even if they have concerns about ethics or its impact on society. Conversely, those who understand AI better tend to be more cautious and less likely to see it as a miracle.

Research Highlights and Future Steps

In an experiment, 234 college students answered questions about whether they’d use AI to help write different types of papers. The students with lower AI literacy were more open to using AI, despite also worrying about its ethical implications. The researchers believe that educating people about AI’s real capabilities and limitations could lead to better decisions. They argue that a basic level of AI literacy should be part of education to help users understand where AI might fall short.

In the end, the findings challenge the assumption that more tech knowledge leads to more trust. Instead, understanding how AI works can make people more cautious. This calls for a shift in how AI is presented and taught. Instead of just promoting its benefits, companies and educators should also focus on explaining its real nature. That way, users can enjoy AI responsibly and with a clearer understanding of what it can and cannot do.

Inspired by

• https://futurism.com/more-people-learn-ai-trust

Sources

• gmpg.org
• wsj.com
• sagepub.com