Marginalized Americans Exhibit Significant Skepticism Towards Artificial Intelligence, University of Michigan Study Reveals
Ann Arbor, MI – July 2, 2025 – A comprehensive new study released today by the University of Michigan indicates that Americans from marginalized communities express a notably higher degree of skepticism regarding artificial intelligence (AI) compared to their counterparts in more privileged demographics. The findings, published on July 2, 2025, suggest a complex relationship between societal position and perceptions of emerging technologies, particularly AI.
The research, conducted by a team of scholars at the University of Michigan, delved into the attitudes of various American populations towards AI, exploring their trust levels, perceived benefits, and potential risks. Early analysis of the data points to a discernible pattern: individuals identifying with groups that have historically faced systemic discrimination, economic disadvantage, and social exclusion are more likely to harbor reservations and exhibit a cautious stance when it comes to the widespread adoption and influence of AI.
While the study provides an in-depth examination of these sentiments, preliminary insights suggest that the skepticism is not rooted in a general aversion to technology itself. Instead, it appears to be informed by a lived experience that often involves navigating systems where fairness, equity, and transparency are not consistently upheld. For these communities, the prospect of AI being integrated into critical areas such as law enforcement, employment, healthcare, and access to social services raises significant concerns about potential biases, exacerbation of existing inequalities, and the reinforcement of discriminatory practices.
The University of Michigan researchers highlight that these apprehensions are likely a direct reflection of historical and ongoing challenges. Communities that have experienced unfair treatment, surveillance, or economic disenfranchisement may view AI with a heightened sense of caution, anticipating that existing societal power imbalances could be amplified by the deployment of these powerful technologies. The potential for AI algorithms to inadvertently or intentionally perpetuate biases, leading to outcomes that disproportionately disadvantage marginalized groups, is a central theme emerging from the study.
Conversely, individuals from more dominant or privileged groups may not possess the same immediate concerns, potentially due to less direct experience with systemic inequities or a greater perceived benefit from the efficiency and advancements that AI promises. This divergence in perspective underscores the importance of understanding the diverse experiences that shape public opinion on technological advancements.
The University of Michigan’s study aims to provide valuable insights for policymakers, technology developers, and researchers seeking to foster a more equitable and inclusive future for AI. It emphasizes the need for a nuanced approach that acknowledges and addresses the legitimate concerns of all segments of society. Moving forward, the research team intends to further explore the specific factors contributing to this skepticism and to identify potential pathways for building greater trust and ensuring that AI technologies are developed and deployed in a manner that benefits everyone, particularly those who have been historically underserved. The findings serve as a critical reminder that the societal impact of AI is not uniform and must be considered through the lens of diverse lived experiences.
Marginalized Americans are highly skeptical of artificial intelligence
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University of Michigan published ‘Marginalized Americans are highly skeptical of artificial intelligence’ at 2025-07-02 19:44. Please write a detailed article about this news in a polite tone with relevant information. Please reply in English with the article only.