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  "documentTitle": "Future of AI-Enabled Health",
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  "notes": "Page 21 of a report; contains citations 20-24.",
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      "text": "A global study found 44% of people surveyed expressed a willingness to trust AI in health applications, reflecting a cautious optimism about its potential benefits and concerns about its implementation and oversight.",
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      "text": "A global study found 44% of people surveyed expressed a willingness to trust AI in health applications, reflecting a cautious optimism about its potential benefits and concerns about its implementation and oversight. This cautious attitude is supported by data showing that 67% of health leaders in the US trusted AI technology to process medical records by 2020.",
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      "text": "Al regulation often follows a one-size-fits-all approach, which is inadequate for the diverse and rapidly evolving nature of AI technologies. The nature of genAI, which is non-deterministic and can evolve as data is collected during use, requires more flexible and nuanced regulatory approaches compared to traditional AI.",
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      "text": "On the second point, it must be acknowledged that the rapid pace of AI development necessitates a new approach to expanding validation capacity. This can be achieved by delegating the validation process, under the supervision of regulators and governments, to involve not only government bodies but also non-profits, care providers and private-sector players.",
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      "text": "Building trust in AI for health requires a concerted effort on both the regulatory and business fronts. Transparency is a cornerstone in this endeavour. Regulatory bodies must ensure openness, clear communication and full disclosure of important facts about AI technologies to alleviate public concerns.",
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      "text": "Yet the private sector is a diverse landscape, and large organizations are more likely to be able to free up resources to participate in discussions on guidelines and standards. This is why public-private partnerships, including funded PPPs as defined by the American National Standards Institute (ANSI), should be considered for long-term sustainability.",
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      "text": "Human oversight also plays a crucial role, especially given the challenges with genAI, such as hallucinations. Ensuring that humans remain involved in validating AI outputs and supporting decision-making is essential for maintaining trust and efficacy.",
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      "text": "it is fundamental to consider streamlining the oversight process for AI regulation through [...] engagement and collaboration [among key stakeholders].",
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