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A recent Pew Research Center and Gallup survey reveals that a majority of Americans distrust artificial intelligence (AI) and the people in charge of regulating it. The findings, released in early 2024, suggest growing public skepticism that could shape policy debates and corporate strategies in the AI sector.

Background

Artificial intelligence has rapidly expanded across industries, from healthcare to finance, prompting calls for clearer oversight. Yet public opinion on AI’s safety, fairness, and governance has remained mixed. Prior studies have highlighted concerns over bias, privacy, and job displacement, but few have quantified trust in both the technology and its regulators.

In this context, the Pew Research Center partnered with Gallup to conduct a nationwide survey of 2,000 U.S. adults. The poll aimed to gauge attitudes toward AI’s potential benefits, risks, and the institutions tasked with managing its development.

What Happened

The survey found that 61% of respondents expressed a lack of trust in AI, while only 39% trusted the technology. When asked about confidence in the people responsible for overseeing AI, 55% said they did not trust those in charge, compared to 45% who did.

Respondents cited several reasons for their distrust. The most common concerns were the potential for AI to be used in ways that harm individuals or society, the lack of transparency in how AI systems make decisions, and fears that powerful corporations could wield AI for unfair advantage. A smaller portion of respondents worried about AI’s impact on employment and the economy.

Demographic breakdowns indicated that trust levels varied by age, education, and political affiliation. Younger adults (18-29) were slightly more skeptical of AI than older cohorts, while higher education was associated with greater trust in the technology but not necessarily in its regulators. Political ideology also played a role, with respondents identifying as Republican or conservative showing lower trust in AI and its oversight than those identifying as Democrat or liberal.

Market & Industry Implications

The survey’s results could influence how companies approach AI deployment. Firms may need to prioritize transparency and explainability to address public concerns, especially in sectors where AI decisions directly affect consumers, such as credit scoring or hiring. The data also suggest that industry leaders may face increased scrutiny from regulators, potentially leading to more stringent compliance requirements.

Policymakers may use the findings to justify stronger regulatory frameworks or public investment in AI safety research. The expressed distrust in both AI and its oversight bodies could pressure legislators to accelerate the development of clear, enforceable standards for AI systems, particularly those that impact public welfare.

Investors observing the survey might reassess risk profiles for companies heavily invested in AI. The perceived lack of public confidence could affect consumer adoption rates, which in turn could influence revenue projections for AI-driven products and services.

What to Watch

  • Upcoming U.S. congressional hearings on AI regulation scheduled for mid-2024, where lawmakers may reference the Pew-Gallup data.
  • Release of the Federal Trade Commission’s draft guidance on AI transparency, expected later this year.
  • Industry conferences, such as the AI Summit in San Francisco, where companies will discuss strategies to build public trust.