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支柱之一，它将利用通过可穿戴设备和传感器收集的越来越多的现实世界数据，并考虑疾病与个人/人群之间的多种复杂相互作用。虽然人工智能数字医疗服务和产品的数量和种类正在迅速扩大，但大多数人工智能创新仍处于概念验证的形式。关于人工智能是否值得信任，一直存在争论。欧盟人工智能 HLEG 定义，值得信赖的人工智能系统应该是合法、道德和稳健的。要将其转化为可行的实践，提供可解释性、公平性和隐私至关重要。在可解释的人工智能、公平的人工智能和保护隐私的人工智能领域已经进行了大量的研究。然而，当前应对这三个挑战的研究工作是分散的，最终产生了各种具有异构、不可互操作甚至相互冲突的解决方案。 HarmonicAI 的雄心勃勃的愿景是构建一个人机协作多目标设计框架，以促进数字健康领域连贯可解释、公平且保护隐私的人工智能。 HarmonicAI 汇集了人工智能、医疗保健、物联网、数据科学、隐私、网络安全、软件工程、人机交互和工业设计领域的知名专家，其基本共同目标是为人工智能从业者制定具体的技术和操作指南，以设计以人为本的领域-特定的、以需求为导向的值得信赖的人工智能解决方案，加速人工智能驱动的数字医疗服务的可扩展部署，并向公众保证数字医疗中的人工智能正在以道德和值得信赖的方式开发和使用。