Let's talk AI: Understanding public attitudes towards use of AI with sensitive data.

IF 2.2 Q3 HEALTH CARE SCIENCES & SERVICES
International Journal of Population Data Science Pub Date : 2026-07-06 eCollection Date: 2026-01-01 DOI:10.23889/ijpds.v11i5.3669
Elizabeth Waind, Katie Porter, Shayda Kashef
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引用次数: 0

Abstract

The development and use of Artificial Intelligence (AI) with sensitive data in Trusted Research Environments (TREs) is a complex and rapidly evolving area of work. To ensure the use of AI with sensitive data meets public expectations, a deeper understanding of public attitudes is essential. In late 2025, as part of the UK Research and Innovation DARE UK (Data and Analytics Research Environments UK) programme, we conducted a pilot public deliberation with 22 individuals in England with limited prior knowledge of data research and AI. A series of three workshops with the same group tested approaches to knowledge development for this emerging and complex topic, and explore hopes and concerns about AI. Discussions explored training and development of AI models in TREs, and use of AI capabilities to support data analysis and risk assessment. Participants recognised the potential of AI to improve efficiency and accuracy when drawing conclusions from data, delivering public benefit. While existing TRE safeguards reassured participants about personal privacy, fears of data and AI misuse persisted. Trust, transparency, oversight and regulation emerged as critical themes, and participants emphasised that AI should remain a tool, not a decision-maker. Participants called for diverse and representative AI training data to mitigate bias, and greater efforts to increase public awareness. These insights will inform a larger, UK-wide public deliberation on the same topic in 2026, in partnership with ADR UK (Administrative Data Research UK) and others. We look forward to sharing the interim findings of this wider work in July 2026.

让我们谈谈人工智能:了解公众对使用人工智能处理敏感数据的态度。
在可信研究环境(TREs)中开发和使用具有敏感数据的人工智能(AI)是一个复杂且快速发展的工作领域。为了确保人工智能与敏感数据的使用符合公众的期望,深入了解公众的态度至关重要。2025年底,作为英国研究与创新DARE UK(英国数据与分析研究环境)计划的一部分,我们在英国与22名对数据研究和人工智能知识有限的个人进行了一次试点公开审议。同一小组的三个系列研讨会测试了这一新兴和复杂主题的知识开发方法,并探讨了对人工智能的希望和担忧。讨论探讨了TREs中人工智能模型的培训和开发,以及使用人工智能功能来支持数据分析和风险评估。与会者认识到人工智能在从数据中得出结论时提高效率和准确性的潜力,从而带来公共利益。虽然现有的电子信息技术保障措施让参与者对个人隐私放心,但对数据和人工智能滥用的担忧仍然存在。信任、透明度、监督和监管成为关键主题,与会者强调,人工智能仍应是一种工具,而不是决策者。与会者呼吁提供多样化和具有代表性的人工智能训练数据,以减轻偏见,并加大努力提高公众意识。这些见解将与ADR UK (Administrative Data Research UK)和其他机构合作,在2026年就同一主题进行更大范围的英国公众审议。我们期待在2026年7月分享这项更广泛工作的中期结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
386
审稿时长
20 weeks
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