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      "text": "However, for local councils and the government, lower levels of trust present a challenge. These organisations will need to work to convince the public that AI will be used safely and ethically. This could involve establishing clear frameworks for AI accountability and oversight, engaging with the public to understand and address their concerns, and being transparent about how AI systems are being deployed. Research indicates that transparency and human oversight are key to public comfort with AI use in areas like policing and benefits assessments.",
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      "text": "These differences in trust have significant implications for how AI is rolled out across public services. For the NHS, there is a relatively strong foundation of public confidence to build on. Communicating clearly about how AI is being used to improve patient care, while emphasising the ongoing role of human clinicians, can help maintain this trust. This aligns with the finding that the public is more comfortable with AI in healthcare when used to support rather than replace human expertise and decision-making.",
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      "text": "The police will also need to carefully consider how they communicate about AI use, given the sensitivities around law enforcement. Building robust safeguards against unfair outcomes and allowing for public scrutiny of AI policing tools will be key. This responds to public discomfort with AI being used in ways that could worsen existing inequalities.",
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      "text": "© Ipsos | Public Trust in AI | September 2024 | Public",
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      "text": "Implications for AI rollout in public services",
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