Welcome to the companion website for the upcoming Ethical considerations in the use of big data, AI, and real-time information for prediction of behavioral health outcomes Exploratory Seminar. We are very excited for this virtual seminar, on January 24-25, 2022, and we look forward to seeing everyone soon. Please feel free to explore this website. We will strive to make sure that the most up-to-date information is installed. Thank you.
Executive Summary: Psychiatric and behavioral conditions are responsible for an enormous burden of disability, morbidity, and mortality; however, options for accurate prediction and effective intervention remain limited. Advances in big and rich data analytics and mobile technology are rapidly creating new opportunities in psychiatry to improve prediction of behavioral health outcomes. Increasingly, it is possible to access data from multiple sources and build models using machine learning to predict whether and when these critical outcomes may occur. This raises novel ethical dilemmas as we consider the use of these models to intervene and attempt prevention. Notably, dilemmas arise regarding (1) what data are accessed and linked across sources - for example, the implications of linking medical data with datasets containing arrest records or social media posts. We also must consider (2) when data are accessed and on what time horizons they are used to predict outcomes and (3) how data are modeled, given that black-box uninterpretable models may also inherit and pass along biases present in their training data sets. In an effort to balance the potential value of data-driven prediction with potential costs, ethical violations, and inequities, it is important to create a forum for dialogue and generativity in this space. As these forms of data and modeling techniques are rapidly becoming more common in academia, medicine, and industry, now is an ideal time to bring together experts across disciplines to build a fuller accounting of the ethical dilemmas, practical challenges, and potential solutions and guidelines in pursuing this important work.
Exploratory Seminar Leadership:
MGH Trustees Endowed Chair in Psychiatric Neuroscience, Professor of Psychiatry at Harvard Medical School
Professor in the Department of Epidemiology at the Harvard School of Public Health
Edgar Pierce Professor of Psychology, Harvard College Professor, Chair, Department of Psychology, Harvard University
Research Scientist, Massachusetts General Hospital
Research Scientist, Boston Children's Hospital
Director, Computational Health Informatics Program, Boston Children’s Hospital
Director, Predictive Medicine Group, Harvard Medical School
Assistant Professor of Pediatrics, Harvard Medical School