Opening the black box of Explainable Artificial Intelligence in Healthcare. Start of the European project xAIM.

On May 25th and 26th it took place online the kick-off meeting of the project eXplainable Artificial Intelligence in healthcare Management (xAIM), which was funded by the European Commission for a total amount of about 1,7 million euro. The main objectives of the project can be summarized as follows: to create a new master program specifically dedicated to the use of explainable AI in healthcare, in order to promote the development of highly specialized professionals with regard to AI, and to create a network of similar programs at the European level, in order to joint master’s degree in “digital healthcare management”.

The kick-off meeting was organized in two sessions where several experts from the fields of healthcare management and artificial intelligence (AI) discussed these topics with the consortium of the xAIM project’s partner universities, with the aim of identifying the relevant issues for the master’s design and implementation.

With regard to the healthcare management topics, doctor Michele Tringali, from the Italian Ministry of Health, and doctor Line Farah, Coordinator of the medical device innovation Center at Foch Hospital, France. Both illustrated challenges and possible solutions connected with the introduction of AI-based devices in the healthcare context. While, on the one hand, doctor Tringali, offered a macro perspective with his presentation entitled “Challenges for healthcare systems and AI solutions in healthcare”, doctor Farah proposed a synthesis of the possible evaluation of the impacts of AI on the healthcare sector, with a presentation entitled “Artificial intelligence based-medical devices in healthcare: where do we stand with their assessment?”.

The second day had explainable AI as the protagonist of the debate. Professor Allan Tucker from Brunel University, London, shared potential strategies, opportunities and risks linked to the opening of the AI black box in healthcare, with a lesson named “Opening the Black Box: The Importance of Explainable AI”.

The starting meeting saw the participation of the partner of the project, which is coordinated by the University of Pavia, cooperating with Goethe University (D), Keele University (UK), Leibniz University Hannover (D) and University of Ljubljana (SL).

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