Sex and Gender Bias in Technology and Artificial Intelligence

Sex and Gender Bias in Technology and Artificial Intelligence
Author :
Publisher : Academic Press
Total Pages : 280
Release :
ISBN-10 : 9780128213933
ISBN-13 : 0128213930
Rating : 4/5 (33 Downloads)

Book Synopsis Sex and Gender Bias in Technology and Artificial Intelligence by : Davide Cirillo

Download or read book Sex and Gender Bias in Technology and Artificial Intelligence written by Davide Cirillo and published by Academic Press. This book was released on 2022-05-21 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications details the integration of sex and gender as critical factors in innovative technologies (artificial intelligence, digital medicine, natural language processing, robotics) for biomedicine and healthcare applications. By systematically reviewing existing scientific literature, a multidisciplinary group of international experts analyze diverse aspects of the complex relationship between sex and gender, health and technology, providing a perspective overview of the pressing need of an ethically-informed science. The reader is guided through the latest implementations and insights in technological areas of accelerated growth, putting forward the neglected and overlooked aspects of sex and gender in biomedical research and healthcare solutions that leverage artificial intelligence, biosensors, and personalized medicine approaches to predict and prevent disease outcomes. The reader comes away with a critical understanding of this fundamental issue for the sake of better future technologies and more effective clinical approaches. - First comprehensive title addressing the topic of sex and gender biases and artificial intelligence applications to biomedical research and healthcare - Co-published by the Women's Brain Project, a leading non-profit organization in this area - Guides the reader through important topics like the Generation of Clinical Data, Clinical Trials, Big Data Analytics, Digital Biomarkers, Natural Language Processing


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