ACHIEVING FAIRNESS PDF Download

Author: KAREN. BUSBY
Publisher:
ISBN: 9780779892297
Category :
Languages : en
Pages :

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Author: Roland Tharp
Publisher: Routledge
ISBN: 0429976577
Category : Education
Languages : en
Pages : 254

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Book Description
The social organization of teaching and learning, particularly in classrooms, has not yet been recognized as a foundational element of education. However, social constructionist views of human development, cognition, and schooling, as well as the increasing challenges of cultural and linguistic diversity, make it a vital concern for teachers, researchers, and policymakers. This book introduces the concept of educational social organization, assembles the pertinent theory and evidence, and suggests future directions for training and policy. }The four goals of school reform--academic excellence, fairness, inclusion and harmony--can be achieved simultaneously, by transforming the final common pathway of all school reform--instructional activity. Teaching Transformed is a new vision for classrooms, based on consensus research findings and unified practice prescriptions, explained and justified by new developments in sociocultural theory, and clarified by an explicit five-phase developmental guide for achieving that transformation. Teaching Transformed is both visionary and practical, both theoretical and data-driven, and determined to create effective education for all students. Professional educators, parents, and any reader concerned with saving our schools will find this book necessary to understand our current plight, and to envision a realistic means of transformation.

Author: Aileen Nielsen
Publisher: O'Reilly Media
ISBN: 1492075701
Category : Computers
Languages : en
Pages : 346

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Book Description
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.

Author: Chris Reed
Publisher: Bloomsbury Publishing
ISBN: 1509976817
Category : Law
Languages : en
Pages : 243

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Book Description
This book proposes a regulatory system for ensuring that AI makes fair decisions. No one wants to be the subject of an unfair decision made by an AI, and fairness is so important to society that we are likely to want to regulate to demand it. But how? This book attempts to answer that question. The aim of regulation must be for an AI's decisions to match the human conception of fairness. To understand what that is, the book proposes a holistic understanding of fairness, which tells us what regulation must try to achieve. However, regulation is not an abstract activity – it regulates how humans behave, and the humans in question are those who develop and use AI for decision-making. Thus the book investigates how those humans are attempting to achieve AI fairness. It finds that there is a serious mismatch between how technologists conceptualise fairness, compared to other humans. How can AI regulation bridge this gap? Traditional models of regulation cannot solve this problem. Fairness is too nuanced, too contextual, and is ultimately a human emotional response. Instead the book proposes to place the responsibility on the AI community to explain and justify their efforts to achieve fairness, basing regulatory and legal responses on how well that explanation deals with the risks that particular AI presents, and whether the AI operates in accordance with the explanation in use. The book concludes by examining how far this regulatory model might be useful for some of the other social problems which AI generates. An original and significant contribution to the literature on AI regulation, this book is a must-read for those working in the areas of law, regulation, and technology.

Author: Yael Kalai
Publisher: Springer
ISBN: 3319705008
Category : Computers
Languages : en
Pages : 814

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The two-volume set LNCS 10677 and LNCS 10678 constitutes the refereed proceedings of the 15th International Conference on Theory of Cryptography, TCC 2017, held in Baltimore, MD, USA, in November 2017. The total of 51 revised full papers presented in the proceedings were carefully reviewed and selected from 150 submissions. The Theory of Cryptography Conference deals with the paradigms, approaches, and techniques used to conceptualize natural cryptographic problems and provide algorithmic solutions to them and much more.

Author: Pawan Whig
Publisher: CRC Press
ISBN: 1040228771
Category : Computers
Languages : en
Pages : 287

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Book Description
Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development. The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.

Author: Jianlong Zhou
Publisher: Springer
ISBN: 3319904035
Category : Computers
Languages : en
Pages : 485

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Book Description
With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications. This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making. This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.

Author: Roozbeh Razavi-Far
Publisher: Springer Nature
ISBN: 3030913902
Category : Technology & Engineering
Languages : en
Pages : 355

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Book Description
This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning communities across the world in recent years. Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process. Their key capability is to generate new data and replicate available data distributions, which are needed in many practical applications, particularly in computer vision and signal processing. The book is intended for academics, practitioners, and research students in artificial intelligence looking to stay up to date with the latest advancements on GANs’ theoretical developments and their applications.

Author: Aaron James
Publisher: OUP USA
ISBN: 0199846154
Category : Business & Economics
Languages : en
Pages : 381

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In this book, the author argues that to achieve a fair global economy, there must be compensation of people harmed by their exposure to the global economy, but also equal division of the "gains of trade" across societies.

Author: Kevin Jeffay
Publisher: Springer Science & Business Media
ISBN: 3540402810
Category : Business & Economics
Languages : en
Pages : 509

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The refereed proceedings of the 10th International Workshop on Quality of Service, IWQoS 2003, held in Berkeley, CA, USA, in June 2003. The 27 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on analysis and modeling, resource allocation and admission control, multimedia and incentives, dependability and fault tolerance, routing, availability and dependability, Web services, rate-based QoS, and storage.