Insurance Biases Discrimination And Fairness
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Insurance Biases Discrimination And Fairness
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Author : Arthur Charpentier
language : en
Publisher: Springer Nature
Release Date :
Insurance Biases Discrimination And Fairness written by Arthur Charpentier and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Discrimination And Insurance
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Author : Ronen Avraham
language : en
Publisher:
Release Date : 2019
Discrimination And Insurance written by Ronen Avraham and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Is it fair and just to charge men and women identical life insurance premiums despite their different actuarial risk? What about charging the old and the young different premiums? As entities whose core business is to classify people based on their actuarial risk, should private insurance companies not be allowed to discriminate between various groups? To answer these and various other questions, I start this chapter by revealing the complete confusion that exists in the legal terrain with respect to antidiscrimination norms in insurance. I then show how philosophers writing about discrimination mostly have been writing at a level of abstraction so high that it comfortably ignores relevant nuances, thus making the entire literature largely useless for any insurance-related policy-making purposes. I conclude by proposing a theoretical framework that can help policy makers apply a fair and just anti-discrimination policy.
Machine Learning For Econometrics And Related Topics
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Author : Vladik Kreinovich
language : en
Publisher: Springer Nature
Release Date :
Machine Learning For Econometrics And Related Topics written by Vladik Kreinovich and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Machine Learning And Knowledge Discovery In Databases Research Track
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Author : Danai Koutra
language : en
Publisher: Springer Nature
Release Date : 2023-09-16
Machine Learning And Knowledge Discovery In Databases Research Track written by Danai Koutra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-16 with Computers categories.
The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: Robustness; Time Series; Transfer and Multitask Learning. Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.
Underwriting Manual
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Author : United States. Federal Housing Administration
language : en
Publisher:
Release Date : 1936-04
Underwriting Manual written by United States. Federal Housing Administration and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1936-04 with Housing categories.
Machine Learning And Knowledge Discovery In Databases Applied Data Science And Demo Track
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Author : Gianmarco De Francisci Morales
language : en
Publisher: Springer Nature
Release Date :
Machine Learning And Knowledge Discovery In Databases Applied Data Science And Demo Track written by Gianmarco De Francisci Morales and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Communities In Action
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2017-04-27
Communities In Action written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-27 with Medical categories.
In the United States, some populations suffer from far greater disparities in health than others. Those disparities are caused not only by fundamental differences in health status across segments of the population, but also because of inequities in factors that impact health status, so-called determinants of health. Only part of an individual's health status depends on his or her behavior and choice; community-wide problems like poverty, unemployment, poor education, inadequate housing, poor public transportation, interpersonal violence, and decaying neighborhoods also contribute to health inequities, as well as the historic and ongoing interplay of structures, policies, and norms that shape lives. When these factors are not optimal in a community, it does not mean they are intractable: such inequities can be mitigated by social policies that can shape health in powerful ways. Communities in Action: Pathways to Health Equity seeks to delineate the causes of and the solutions to health inequities in the United States. This report focuses on what communities can do to promote health equity, what actions are needed by the many and varied stakeholders that are part of communities or support them, as well as the root causes and structural barriers that need to be overcome.
Measuring Racial Discrimination
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Author : National Research Council
language : en
Publisher: National Academies Press
Release Date : 2004-07-24
Measuring Racial Discrimination written by National Research Council and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-07-24 with Social Science categories.
Many racial and ethnic groups in the United States, including blacks, Hispanics, Asians, American Indians, and others, have historically faced severe discriminationâ€"pervasive and open denial of civil, social, political, educational, and economic opportunities. Today, large differences among racial and ethnic groups continue to exist in employment, income and wealth, housing, education, criminal justice, health, and other areas. While many factors may contribute to such differences, their size and extent suggest that various forms of discriminatory treatment persist in U.S. society and serve to undercut the achievement of equal opportunity. Measuring Racial Discrimination considers the definition of race and racial discrimination, reviews the existing techniques used to measure racial discrimination, and identifies new tools and areas for future research. The book conducts a thorough evaluation of current methodologies for a wide range of circumstances in which racial discrimination may occur, and makes recommendations on how to better assess the presence and effects of discrimination.
Sex And Gender Bias In Technology And Artificial Intelligence
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Author : Davide Cirillo
language : en
Publisher: Academic Press
Release Date : 2022-05-21
Sex And Gender Bias In Technology And Artificial Intelligence written by Davide Cirillo and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-21 with Medical categories.
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
The Ethical Algorithm
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Author : Michael Kearns
language : en
Publisher: Oxford University Press
Release Date : 2019-10-04
The Ethical Algorithm written by Michael Kearns and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-04 with Computers categories.
Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps. Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology.