ERCIM News No. 134 Special theme: "Explainable AI (XAI)"

Dear ERCIM News reader,

ERCIM NEWS 134

ERCIM News No. 134 has just been published. This issue's special theme dives into Explainable AI (XAI) – uncovering its application across healthcare, industry, ethics, climate change, and generative language models. Discover the significance of transparency and interpretability in complex ML models, offering insights into decision-making and building trust.

This special theme was coordinated by our guest editors by Manjunatha Veerappa (Fraunhofer IOSB) and Salvo Rinzivillo (CNR-ISTI).

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Includes:

Explainable AI in Health Care

16 Explaining Ensemble Models for Lung Ultrasound Classification

by Antonio Bruno, Giacomo Ignesti and Massimo Martinelli (CNR-ISTI)

18 A Governance and Assessment Model for Ethical Artificial Intelligence in Healthcare

by Luigi Briguglio, Francesca Morpurgo and Carmela Occhipinti (CyberEthics Lab.)

20 Current Challenges and Future Research Directions in Multimodal Explainable Artificial Intelligence

by Nikolaos Rodis, Christos Sardianos and Georgios Th. Papadopoulos (Harokopio University of Athens)

22 Predictive Model for Functional Outcome after Orthopaedic Surgery Using Machine Learning Methods

by Alexandre Lädermann (Hôpital de La Tour, Meyrin, Switzerland), Philippe Collin (American Hospital of Paris, France) and Patrick J. Denard (Oregon Shoulder Institute, Medford, Oregon, USA)

23 Unleashing the Power of Artificial Intelligence for Personalised Drug Design

by Michaela Areti Zervou, Effrosyni Doutsi, Panagiotis Tsakalides (University of Crete and ICS-FORTH)

Next issue:
No. 135,  October 2023
Special Theme: "Climate-Resilient Society".

Submissions are welcome! See call for contributions.

My source:

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