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、公平和保护隐私的人工智能的人类引导协作多目标设计

• 批准号: EP/Z000041/1
• 负责人: Nauman Aslam
• 金额: $ 5.96万
• 依托单位: Northumbria University
• 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%2FZ000041%2F1
• 关键词: HarmonicAI; Human; guided; collAboRative; Multi

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. The framework will provide 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.The scope of HarmonicAI is multifaceted and multi-dimensional. An interdisciplinary and intersectoral approach is essential to address the various challenges of trustworthy AI. 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 design and develop innovative technologies and guidelines to resolve ethical issues with respect to fairness and data privacy, achieve transparency of AI models, and enhance safety and trust in the deployment of AI for digital health. Realising these complex goals demands a collective interdisciplinary, intersectoral, cross-border effort from a diverse variety of stakeholders including academia, industries and healthcare providers.

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。该框架将为人工智能从业者提供具体的技术和操作指南，以设计以人为本、针对特定领域、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，并向公众保证人工智能在数字医疗领域的应用。健康正在以道德和值得信赖的方式开发和使用。 HarmonicAI 的范围是多方面、多维度的。跨学科和跨部门的方法对于解决可信人工智能的各种挑战至关重要。 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，其共同目标是设计和开发创新技术和指南，以解决公平和公正方面的道德问题。数据隐私，实现人工智能模型的透明度，并增强数字健康领域人工智能部署的安全性和信任度。实现这些复杂的目标需要学术界、工业界和医疗保健提供者等不同利益相关者的跨学科、跨部门、跨国界的共同努力。