FairLens: Auditing black-box clinical decision support systems☆
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DP and CP acknowledge funding from the European Union’s Horizon 2020 Excellent Science - European Research Council (ERC) programme under grant n. 834756 ”XAI - Science and technology of eXplainable AI decision making” and partial support from the European Union’s Horizon 2020 research and innovation programme under grant n. 952026 ”HumanE AI Network”, grant n. 871042 ”SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics” and grant n. 952215 ”TAILOR - Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization”. PB, AP and AP acknowledge partial support from Research Project ”Casa Nel Parco” (POR FESR14/20 - CANP - Cod. 320 - 16 - Piattaforma Tecnologica ”Salute e Benessere”) funded by Regione Piemonte in the context of the Regional Platform on Health and Wellbeing, Italy and from Intesa Sanpaolo Innovation Center, Italy . The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.