HEStaff exchange2024–2027

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

Horizon Europe — Marie Skłodowska-Curie Actions

Duration: 2024-01-01 → 2027-12-31
EU contribution: €791,200
Participants: 17
Scheme: HORIZON-TMA-MSCA-SE

Lines connect the coordinator with its partners.

Project objective

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.

Original text from CORDIS.

Participants

UNIVERSIDADE DE EVORA · Uniao das Freguesias de EvoraCoordinatorPortugal
BRUNEL UNIVERSITY LONDON · UXBRIDGEUnited Kingdom
CHIANG MAI UNIVERSITY · CHIANG MAIThailand
DECSIS II IBERIA LDA · EVORAPortugal
DUBLIN CITY UNIVERSITY · DublinIreland
INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE LYON · VILLEURBANNE CEDEXFrance
JYVASKYLAN YLIOPISTO · JyvaskylaFinland
MEKHANE LOGOS ANALYTICS LDA · LOURESPortugal
SAS ATOUT MAJEUR CONCEPT · QUINT-FONSEGRIVESFrance
TECHNISCHE UNIVERSITEIT DELFT · DelftNetherlands
THE GOVERNORS OF THE UNIVERSITY OF ALBERTA · EdmontonCanada
THE UNIVERSITY OF READING · ReadingUnited Kingdom
UNIDADE LOCAL DE SAUDE DO BAIXO ALENTEJO EPE · BEJAPortugal
UNIVERSITE JEAN MONNET · SAINT-ETIENNEFrance
UNIVERSITE LUMIERE LYON 2 · LyonFrance
UNIVERSITY OF LEEDS · LeedsUnited Kingdom
UNIVERSITY OF NORTHUMBRIA AT NEWCASTLE · NEWCASTLE UPON TYNEUnited Kingdom

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

Project objective

Participants

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