Fairness in Medical Algorithms: Threats and Opportunities скачать в хорошем качестве

Fairness in Medical Algorithms: Threats and Opportunities

The year 2020 has brought into focus the second pandemic of social injustice and systemic bias with the disproportionate deaths observed for minority patients infected with COVID. As we observe an increase in the development and adoption of AI for medical care, we note the variable performance of the models when tested on previously unseen datasets, and also bias when the outcome proxies such as healthcare costs are utilized. Despite progressive maturity in AI development with increased availability of large open-source datasets and regulatory guidelines, operationalizing fairness is difficult and remains largely unexplored. In this talk, we review the background/context for FAIR and UNFAIR sequelae of AI algorithms in healthcare, describe practical approaches to FAIR Medical AI, and issue a grand challenge with open/unanswered questions. → To watch more videos like this, visit https://aiplus.training ​← Do You Like This Video? Share Your Thoughts in Comments Below Also, You can visit our website and choose the nearest ODSC Event to attend and experience all our Trainings and Workshops: https://odsc.com/boston/ Sign up for the newsletter to stay up to date with the latest trends in data science: https://opendatascience.com/newsletter/ Follow Us Online! • Facebook:   / opendatasci   • Instagram:   / odsc   • Blog: https://opendatascience.com/ • LinkedIn:   / open-data-science   • Twitter:   / odsc