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Practical Fairness

Practical Fairness
Author: Aileen Nielsen
Publisher: O'Reilly Media
Total Pages: 346
Release: 2020-12-01
Genre: Computers
ISBN: 1492075701

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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

Practical Fairness
Author: Aileen Nielsen
Publisher: O'Reilly Media
Total Pages: 175
Release: 2020-12-31
Genre:
ISBN: 9781492075738

Download Practical Fairness Book in PDF, ePub and Kindle

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

Conceptualising Procedural Fairness in EU Competition Law
Author: Haukur Logi Karlsson
Publisher: Bloomsbury Publishing
Total Pages: 192
Release: 2020-09-17
Genre: Law
ISBN: 1509935436

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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

Advances in Bias and Fairness in Information Retrieval
Author: Ludovico Boratto
Publisher: Springer Nature
Total Pages: 187
Release: 2023-08-22
Genre: Computers
ISBN: 3031372492

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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.


Fairness Is Overrated

Fairness Is Overrated
Author: Tim Stevens
Publisher: HarperChristian + ORM
Total Pages: 253
Release: 2015-01-13
Genre: Business & Economics
ISBN: 1400206553

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Discover the tools of leadership to revolutionize your workplace. Tim Stevens traveled an alternative road—leaving high school and immediately joining a national non-profit organization. He rose quickly through the ranks of leadership, but nine years later left it all behind to help an upstart church get its footing. During the 20 years Stevens served as Executive Pastor at Granger Community Church near South Bend, Indiana, the ministry grew from a congregation of 300 to more than 5,000; from a staff of five to more than 130; with a preschool, restaurant, three campuses and more than 1,800 new churches planted in southern India. Leaders learn by leading. Stevens knows that creating a healthy and successful organization requires throwing out the conventional instruction manual and writing one that balances practical lessons, spiritual truths, and twenty-first century realities—exactly what you will find in Fairness Is Overrated. Stevens, now an executive with the Vanderbloemen Search Group, takes his lifetime of service and dispenses with conventional wisdom. Short, powerful chapters end with actionable discussion questions. Four pillars hold up every successful leader: Be a person of integrity. Identify the right people around you. Build a great culture. Lead through crisis. This is a manual of doing, not talking. No fluff, no stale inspirational platitudes. It’s time to move past planning and kick-start Monday into action.


Public Service

Public Service
Author:
Publisher:
Total Pages: 284
Release: 1913
Genre: Public utilities
ISBN:

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Public Service Management

Public Service Management
Author:
Publisher:
Total Pages: 854
Release: 1913
Genre: American periodicals
ISBN:

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Fairness versus Welfare

Fairness versus Welfare
Author: Louis Kaplow
Publisher: Harvard University Press
Total Pages: 569
Release: 2009-07-01
Genre: Philosophy
ISBN: 0674039319

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By what criteria should public policy be evaluated? Fairness and justice? Or the welfare of individuals? Debate over this fundamental question has spanned the ages. Fairness versus Welfare poses a bold challenge to contemporary moral philosophy by showing that most moral principles conflict more sharply with welfare than is generally recognized. In particular, the authors demonstrate that all principles that are not based exclusively on welfare will sometimes favor policies under which literally everyone would be worse off. The book draws on the work of moral philosophers, economists, evolutionary and cognitive psychologists, and legal academics to scrutinize a number of particular subjects that have engaged legal scholars and moral philosophers. How can the deeply problematic nature of all nonwelfarist principles be reconciled with our moral instincts and intuitions that support them? The authors offer a fascinating explanation of the origins of our moral instincts and intuitions, developing ideas originally advanced by Hume and Sidgwick and more recently explored by psychologists and evolutionary theorists. Their analysis indicates that most moral principles that seem appealing, upon examination, have a functional explanation, one that does not justify their being accorded independent weight in the assessment of public policy. Fairness versus Welfare has profound implications for the theory and practice of policy analysis and has already generated considerable debate in academia.