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

CORDIS · observation · Publication date unknown

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

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recordType

award

status

SIGNED

region

EU

value

791200

unit

EUR