Artificial intelligence is transforming many parts of our lives, from healthcare to traffic management. But despite its rapid growth, a big obstacle remains: public trust. Many people are wary of AI, which slows down its adoption and development. A recent report highlights how trust issues are holding back AI’s full potential and suggests ways to fix this problem.

The Trust Gap in AI Adoption

The report from the Tony Blair Institute for Global Change and Ipsos shows that more than half of people have tried some form of generative AI in the past year. This shows how quickly AI is becoming part of everyday life. However, nearly half of the population has never used AI at home or work, creating a clear divide in how people see this technology.

Interestingly, the more people use AI, the more they tend to trust it. For example, among those who have never used AI, 56% see it as a societal risk. But for those who use AI weekly, that concern drops to 26%. This suggests that firsthand experience can help reduce fears and build trust over time.

Who’s More Skeptical and Why

Trust in AI also varies based on age, profession, and sector. Younger people generally feel more optimistic about AI, while older generations tend to be more cautious. People working in tech are often more confident, while those in healthcare and education are more hesitant. This highlights how personal experience and job roles influence opinions about AI.

People’s feelings about AI also depend on what tasks it performs. Many are happy for AI to help with traffic jams or speeding up cancer detection. They see clear benefits and immediate positive impacts on their lives. When AI’s role is tangible and beneficial, trust tends to grow. Conversely, fears often stem from concerns about privacy, bias, or misuse by big tech companies.

How to Foster Trust and Realize AI’s Benefits

The report doesn’t just point out the trust problem—it offers solutions. One key step is changing how governments and companies talk about AI. Instead of focusing only on promises of growth or efficiency, they should highlight how AI is used for good. Showing real examples of positive, responsible AI use can help build confidence.

Another important step is establishing clear rules and safeguards to prevent misuse. When the public sees that strict regulations are in place to stop abuse or bias, their fears can lessen. Building what the report calls “justified trust” involves transparency, accountability, and a focus on benefits that everyone can see and understand.

Ultimately, gaining public trust is essential for AI to reach its full potential. It requires a nuanced approach—one that addresses concerns honestly and demonstrates tangible benefits. When people feel confident that AI is working for their best interests, they’ll be more willing to embrace this transformative technology and support its growth.

Inspired by

• https://www.artificialintelligence-news.com/news/public-trust-deficit-major-hurdle-for-ai-growth/

Sources

• institute.global