Practical Fairness
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Practical Fairness
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Author : Aileen Nielsen
language : en
Publisher: O'Reilly Media
Release Date : 2020-12-01
Practical Fairness written by Aileen Nielsen and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-01 with Computers categories.
Fairness is an increasingly important topic as machine learning and AI more generally take over the world. While this is an active area of research, many realistic best practices are emerging at all steps along the data pipeline, from data selection and preprocessing to blackbox model audits. This book will guide you through the technical, legal, and ethical aspects of making your code fair and secure while highlighting cutting edge academic research and ongoing legal developments related to fairness and algorithms. There is mounting evidence that the widespread deployment of machine learning and artificial intelligence in business and government is reproducing the same biases we are trying to fight in the real world. For this reason, fairness is an increasingly important consideration for the data scientist. Yet discussions of what fairness means in terms of actual code are few and far between. This code will show you how to code fairly as well as cover basic concerns related to data security and privacy from a fairness perspective.
Practical Fairness
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Author : Aileen Nielsen
language : en
Publisher: O'Reilly Media
Release Date : 2020-12-31
Practical Fairness written by Aileen Nielsen and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-31 with categories.
Fairness is an increasingly important topic as machine learning and AI more generally take over the world. While this is an active area of research, many realistic best practices are emerging at all steps along the data pipeline, from data selection and preprocessing to blackbox model audits. This book will guide you through the technical, legal, and ethical aspects of making your code fair and secure while highlighting cutting edge academic research and ongoing legal developments related to fairness and algorithms. There is mounting evidence that the widespread deployment of machine learning and artificial intelligence in business and government is reproducing the same biases we are trying to fight in the real world. For this reason, fairness is an increasingly important consideration for the data scientist. Yet discussions of what fairness means in terms of actual code are few and far between. This code will show you how to code fairly as well as cover basic concerns related to data security and privacy from a fairness perspective.
Practical Fairness
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FREE 30 Days
Author : Aileen Nielsen
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-12-01
Practical Fairness written by Aileen Nielsen and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-01 with Computers categories.
Fairness is an increasingly important topic as machine learning and AI more generally take over the world. While this is an active area of research, many realistic best practices are emerging at all steps along the data pipeline, from data selection and preprocessing to blackbox model audits. This book will guide you through the technical, legal, and ethical aspects of making your code fair and secure while highlighting cutting edge academic research and ongoing legal developments related to fairness and algorithms. There is mounting evidence that the widespread deployment of machine learning and artificial intelligence in business and government is reproducing the same biases we are trying to fight in the real world. For this reason, fairness is an increasingly important consideration for the data scientist. Yet discussions of what fairness means in terms of actual code are few and far between. This code will show you how to code fairly as well as cover basic concerns related to data security and privacy from a fairness perspective.
Conceptualising Procedural Fairness In Eu Competition Law
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Author : Haukur Logi Karlsson
language : en
Publisher: Bloomsbury Publishing
Release Date : 2020-09-17
Conceptualising Procedural Fairness In Eu Competition Law written by Haukur Logi Karlsson and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-17 with Law categories.
What constitutes a fair procedure when it comes to EU competition law? This innovative book seeks to understand the philosophical considerations at the core of conflicting procedural fairness arguments in EU competition law practice. The author argues for a conceptualisation of procedural fairness as a distributional issue that can be solved by a practical fairness theory and a comprehensive methodology. To illustrate the usefulness of the conceptualisation, three procedural fairness problems from recent EU competition law practice are analysed: - the KME–Chalkor cases; - the Groupe Gascogne cases; - the regulatory question about using a collective redress mechanism for private enforcement of EU competition law. This unique approach provides a robust philosophical and methodological foundation for arguing about a wide range of procedural fairness dilemmas. The book is a must-read for academics and practitioners seeking an imaginative perspective on the philosophical foundations of arguments about procedural fairness in EU competition law and beyond.
Advances In Bias And Fairness In Information Retrieval
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Author : Ludovico Boratto
language : en
Publisher: Springer Nature
Release Date : 2023-08-22
Advances In Bias And Fairness In Information Retrieval written by Ludovico Boratto and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-22 with Computers categories.
This book constitutes the refereed proceedings of the 4th International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2023, held in Dublin, Ireland, in April 2023. The 10 full papers and 4 short papers included in this book were carefully reviewed and selected from 36 submissions. The present recent research in the following topics: biases exploration and assessment; mitigation strategies against biases; biases in newly emerging domains of application, including healthcare, Wikipedia, and news, novel perspectives; and conceptualizations of biases in the context of generative models and graph neural networks.
Intelligent Systems In Medicine And Health
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Author : Trevor A. Cohen
language : en
Publisher: Springer Nature
Release Date : 2022-11-09
Intelligent Systems In Medicine And Health written by Trevor A. Cohen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-09 with Medical categories.
This textbook comprehensively covers the latest state-of-the-art methods and applications of artificial intelligence (AI) in medicine, placing these developments into a historical context. Factors that assist or hinder a particular technique to improve patient care from a cognitive informatics perspective are identified and relevant methods and clinical applications in areas including translational bioinformatics and precision medicine are discussed. This approach enables the reader to attain an accurate understanding of the strengths and limitations of these emerging technologies and how they relate to the approaches and systems that preceded them. With topics covered including knowledge-based systems, clinical cognition, machine learning and natural language processing, Intelligent Systems in Medicine and Health: The Role of AI details a range of the latest AI tools and technologies within medicine. Suggested additional readings and review questions reinforce the key points covered and ensure readers can further develop their knowledge. This makes it an indispensable resource for all those seeking up-to-date information on the topic of AI in medicine, and one that provides a sound basis for the development of graduate and undergraduate course materials.
Doing Computational Social Science
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Author : John McLevey
language : en
Publisher: SAGE
Release Date : 2021-12-15
Doing Computational Social Science written by John McLevey and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-15 with Social Science categories.
Computational approaches offer exciting opportunities for us to do social science differently. This beginner’s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed. For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.
The Author
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Author :
language : en
Publisher:
Release Date : 1896
The Author written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1896 with Authors and publishers categories.
Fairness Design
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Author : Hannes Omasreiter
language : en
Publisher: tredition
Release Date : 2023-03-24
Fairness Design written by Hannes Omasreiter and has been published by tredition this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-24 with Philosophy categories.
We all live in and with organizations such as companies, project groups, the local authorities, school, associations, churches, political parties and the state. There are many reasons why organizations might not function optimally, most of which however have a common cause: Members begin exploiting their power for their own goals in excess, at the cost of others. Although this is often a known cause in principle, there is a lack of concrete, effective, and practical remedies. Fairness Design offers a systematic solution for it, one that goes to the roots of the issue. Fairness Design enables organization to operate better – for the good of all members – with the establishment of more egalitarian organizational structure, more competition, and more democratic decisions. This paves the way, for example, for good ideas that serve the good of the organization to prevail. Organization members can better develop their skills, are more satisfied, and the organization operates more successfully.
Fairness And Machine Learning
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Author : Solon Barocas
language : en
Publisher: MIT Press
Release Date : 2023-12-19
Fairness And Machine Learning written by Solon Barocas and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-19 with Computers categories.
An introduction to the intellectual foundations and practical utility of the recent work on fairness and machine learning. Fairness and Machine Learning introduces advanced undergraduate and graduate students to the intellectual foundations of this recently emergent field, drawing on a diverse range of disciplinary perspectives to identify the opportunities and hazards of automated decision-making. It surveys the risks in many applications of machine learning and provides a review of an emerging set of proposed solutions, showing how even well-intentioned applications may give rise to objectionable results. It covers the statistical and causal measures used to evaluate the fairness of machine learning models as well as the procedural and substantive aspects of decision-making that are core to debates about fairness, including a review of legal and philosophical perspectives on discrimination. This incisive textbook prepares students of machine learning to do quantitative work on fairness while reflecting critically on its foundations and its practical utility. • Introduces the technical and normative foundations of fairness in automated decision-making • Covers the formal and computational methods for characterizing and addressing problems • Provides a critical assessment of their intellectual foundations and practical utility • Features rich pedagogy and extensive instructor resources