Sex and Gender Bias in Technology and Artificial Intelligence

Davide Cirillo, Ph.D. is a postdoctoral researcher at Barcelona Supercomputing Center (BSC) Computational Biology group, Life Sciences Department. Davide Cirillo received the MSc degree in Pharmaceutical Biotechnology from University of Roma ‘La Sapienza’, Italy, and the PhD degree in Biomedicine from Universitat Pompeu Fabra (UPF) and Center for Genomic Regulation (CRG) of Barcelona, Spain. His research is devoted to the development and application of computational methods in Precision Medicine with a special emphasis on Machine Learning and Artificial Intelligence. Silvina Catuara-Solarz, Ph.D. is a translational neuroscientist with expertise in neurodevelopmental, neurodegenerative and psychiatric disorders. After earning a Ph.D. in Biomedicine by the Pompeu Fabra University that she developed at the Centre for Genomic Regulation (CRG), the Hospital del Mar Research Institute (IMIM) (Barcelona, Spain) and the University of California Irvine (Irvine, United States), she worked on target identification for drug development at Janssen Pharmaceutica (Beerse, Belgium). Driven by her interests in merging Technology and Health, she then joined the Health Moonshot at Telefonica Innovation Alpha (Barcelona, Spain) as Strategy Manager where she was involved with the development of evidence-based digital mental health solutions and their efficacy assessment. Given her conviction in the importance of sex and gender for the progress of medicine, Dr. Catuara-Solarz is an active member of the Women’s Brain Project. She has a track record of high impact scientific publications as well as books for the lay audience. Currently Dr. Catuara-Solarz is a selected member of the World Health Organisation Digital Health Roster of Experts and she serves in the European Institute of Innovation and Technology Health (EIT Health) as a project evaluator and a mentor of start-ups in the digital health and medtech sector. Emre Guney, Ph.D. is a Senior Research Fellow at the Research Programme on Biomedical Informatics (GRIB), at the Pompeu Fabra University (UPF) and Hospital del Mar Research Institute (IMIM) in Barcelona, Spain and works on developing computational systems biology models for network medicine. He holds a secondary appointment at the Pharmacology & Personalised Medicine department at Maastricht University in the Netherlands. He obtained a B.S. in Computer Engineering from Middle East Technical University (METU), Ph.D. in Biomedicine from Pompeu Fabra University (UPF) and spent several years as a postdoctoral scholar at the Center for Complex Network Research (CCNR) and the Center for Cancer Systems Biology (CCSB), Boston, MA, USA.

1. Introducing Women’s Brain Project towards a fair and personalized approach to human health in the era of data-driven medicine

Section 1. Sex and gender differences and Precision Medicine 2. Implications of sex-specific differences on clinical studies of human health 3. Sex and gender differences and Precision Medicine

Section 2. Biases in innovative technologies for Biomedicine and Health 4. Bias and fairness in machine learning and artificial intelligence 5. Big Data in healthcare from a sex/gender perspective 6. Biases in digital biomarkers and Mobile Health 7. Sex and Gender bias in Natural Language Processing 8. Sex and gender differences in Invasive and non invasive neurotechnologies 9. Robots and Affective technologies

Section 3. Towards Precision Technology 10. A unified framework for the management of sex and gender biases in Healthcare 11. Privacy Preserving technologies 12. Ethics and Society