HarmonicAI: Human-guided collaborative multi-objective design of explainable, fair and privacy-preserving AI for digital health

HarmonicAI：用于数字健康的可解释、公平和隐私保护人工智能的人工引导协作多目标设计

• 批准号: EP/Z000262/1
• 负责人: Xiaomin Chen
• 金额: $ 11.91万
• 依托单位: University of Reading
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FZ000262%2F1
• 关键词: HarmonicAI; Human; guided; collaborative; multi

Artificial Intelligence (AI) is one of the most significant pillars for the digital transformation of modern healthcare systems which will leverage the growing volume of real-world data collected through wearables and sensors, and consider multitude of complex interactions between diseases and individual/population. While AI-enabled digital health services and products are rapidly expanding in volume and variety, most of the AI innovations remain in the form of proof-of-concept. There is a continuous debate regarding whether AI is worthy of trust. The EU AI HLEG has defined that trustworthy AI systems should be lawful, ethical and robust. To translate it into actionable practices, provision of explainability, fairness and privacy is crucial. A considerable volume of research has been conducted in the areas of explainable AI, fair AI and privacy-preserving AI. However, the current research efforts to tackle the three challenges are fragmented and have culminated in a variety of solutions with heterogeneous, non-interoperable, or even conflicting capabilities. The ambitious vision of HarmonicAI is to build a human-machine collaborative multi-objective design framework to foster coherently explainable, fair and privacy-preserving AI for digital health. HarmonicAI draws together proven experts in AI, health care, IoT, data science, privacy, cyber security, software engineering, HCI and industrial design with an underlying common aim to develop concrete technical and operational guidelines for AI practitioners to design human-centered, domain-specific, requirement-oriented trustworthy AI solutions, accelerating the scalable deployment of AI-powered digital health services and offering assurance to the public that AI in digital health is being developed and used in an ethical and trustworthy manner.

人工智能（AI）是现代医疗保健系统数字化转型的最重要的支柱之一，它将利用通过可穿戴物和传感器收集的实际数据不断增长，并考虑疾病与个人/人群之间的多种复杂相互作用。虽然支持AI的数字保健服务和产品的数量和多样性正在迅速扩大，但大多数AI创新仍然以概念验证的形式。关于AI是否值得信任，有一个持续的辩论。欧盟AI Hleg已确定值得信赖的AI系统应该是合法，道德和健壮的。为了将其转化为可行的实践，提供解释性，公平性和隐私至关重要。在可解释的AI，公平AI和保护隐私的AI领域进行了大量研究。但是，当前应对这三个挑战的研究工作是分散的，并在各种解决方案中达到了各种解决方案，具有异质性，不可接受甚至相互冲突的能力。雄心勃勃的口琴愿景是建立一个人机协作的多目标设计框架，以促进与数字健康相干，公平和隐私的AI相干解释的AI。口琴汇集了AI，医疗保健，物联网，数据科学，网络安全，软件工程，HCI，HCI和工业设计方面的经过验证的专家向公众保证，数字健康中的AI正在以道德和值得信赖的方式开发和使用。