HarmonicAI: Human-guided collAboRative Multi-Objective design of explaiNable, faIr and privaCy-preserving AI for digital health

HarmonicAI的宏伟愿景是建立一个人机协作的多目标设计框架，以促进数字健康领域可连贯解释、公平和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、特定领域、面向需求的可信赖的人工智能解决方案，加速人工智能驱动的数字卫生服务的可扩展部署，并向公众保证，数字卫生中的人工智能正在以道德和可信赖的方式开发和使用。HarmonicAI的范围是多方面的，多维度的。跨学科和跨部门的方法对于应对可信赖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、HCI和工业设计方面的资深专家，其基本共同目标是设计和开发创新技术和指南，以解决与公平和数据隐私有关的道德问题，实现人工智能模型的透明度，并增强人工智能在数字健康领域部署的安全性和信任度。实现这些复杂的目标需要包括学术界、工业界和医疗保健提供者在内的各种利益攸关方跨学科、跨部门、跨国界的共同努力。

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.