The Fair Algorithm Ensuring Fairness In Machine Learning
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The Fair Algorithm Ensuring Fairness In Machine Learning
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Author : S Williams
language : en
Publisher: NFT Publishing
Release Date : 2025-04-15
The Fair Algorithm Ensuring Fairness In Machine Learning written by S Williams and has been published by NFT Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-15 with Computers categories.
In an era where artificial intelligence (AI) plays a pivotal role in shaping decisions across industries, ensuring fairness and eliminating bias in machine learning systems has become more critical than ever. This book dives deep into the pressing challenges of algorithmic fairness , exploring how biases emerge in AI systems and offering actionable strategies to mitigate them. From understanding the roots of data bias and model design flaws to implementing cutting-edge debiasing techniques and fairness metrics , this comprehensive guide equips readers with the tools needed to build ethical, transparent, and inclusive AI. Through real-world case studies from sectors like hiring, lending, healthcare, and law enforcement, the book highlights both failures and successes in achieving equitable outcomes. It examines emerging innovations such as explainable AI (XAI) , bias detection platforms , and fairness-aware algorithms that enhance transparency in AI and foster public trust . Readers will also explore the ethical implications of AI , including debates on privacy, discrimination, and the societal impact of deploying biased algorithms in critical decision-making processes. The narrative further delves into the legal and regulatory frameworks governing AI development, emphasizing the importance of accountability, consumer protection, and adherence to universal values. By applying principles like Kantian ethics to AI practices, the book advocates for responsible AI design that prioritizes inclusivity, equity, and long-term benefits for individuals and communities. Whether you're a developer seeking practical methods to integrate fairness metrics into your workflows or a policymaker navigating regulatory gaps , this resource provides invaluable insights into overcoming barriers such as algorithmic opacity , insufficient diversity in datasets, and resistance to accountability. With a focus on blending empirical evidence with universal ideals, the book concludes with a visionary roadmap toward a future where AI systems are not only fair and transparent but also aligned with ethical principles that uphold human dignity and equality. Packed with knowledge on machine learning ethics , societal inequalities in AI , and innovative trends in fair AI tools, this book is essential reading for anyone committed to building trustworthy, equitable, and impactful AI systems.
The Shame Of The Nation
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Author : Jonathan Kozol
language : en
Publisher: Crown
Release Date : 2005-09-13
The Shame Of The Nation written by Jonathan Kozol and has been published by Crown this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-13 with Education categories.
“The nation needs to be confronted with the crime that we’re committing and the promises we are betraying. This is a book about betrayal of the young, who have no power to defend themselves. It is not intended to make readers comfortable.” Over the past several years, Jonathan Kozol has visited nearly 60 public schools. Virtually everywhere, he finds that conditions have grown worse for inner-city children in the 15 years since federal courts began dismantling the landmark ruling in Brown v. Board of Education. First, a state of nearly absolute apartheid now prevails in thousands of our schools. The segregation of black children has reverted to a level that the nation has not seen since 1968. Few of the students in these schools know white children any longer. Second, a protomilitary form of discipline has now emerged, modeled on stick-and-carrot methods of behavioral control traditionally used in prisons but targeted exclusively at black and Hispanic children. And third, as high-stakes testing takes on pathological and punitive dimensions, liberal education in our inner-city schools has been increasingly replaced by culturally barren and robotic methods of instruction that would be rejected out of hand by schools that serve the mainstream of society. Filled with the passionate voices of children and their teachers and some of the most revered and trusted leaders in the black community, The Shame of the Nation is a triumph of firsthand reporting that pays tribute to those undefeated educators who persist against the odds, but directly challenges the chilling practices now being forced upon our urban systems by the Bush administration. In their place, Kozol offers a humane, dramatic challenge to our nation to fulfill at last the promise made some 50 years ago to all our youngest citizens. From The Shame of the Nation “I went to Washington to challenge the soft bigotry of low expectations,” the president said in his campaign for reelection in September 2004. “It’s working. It’s making a difference.” It is one of those deadly lies, which, by sheer repetition, is at length accepted by large numbers of Americans as, perhaps, a rough approximation of the truth. But it is not the truth, and it is not an innocent misstatement of the facts. It is a devious appeasement of the heartache of the parents of the poor and, if it is not forcefully resisted and denounced, it is going to lead our nation even further in a perilous direction. Also available as a Random House AudioBook and an eBook
Finite Mixture Models
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Author : Geoffrey McLachlan
language : en
Publisher: John Wiley & Sons
Release Date : 2004-03-22
Finite Mixture Models written by Geoffrey McLachlan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-03-22 with Mathematics categories.
An up-to-date, comprehensive account of major issues in finitemixture modeling This volume provides an up-to-date account of the theory andapplications of modeling via finite mixture distributions. With anemphasis on the applications of mixture models in both mainstreamanalysis and other areas such as unsupervised pattern recognition,speech recognition, and medical imaging, the book describes theformulations of the finite mixture approach, details itsmethodology, discusses aspects of its implementation, andillustrates its application in many common statisticalcontexts. Major issues discussed in this book include identifiabilityproblems, actual fitting of finite mixtures through use of the EMalgorithm, properties of the maximum likelihood estimators soobtained, assessment of the number of components to be used in themixture, and the applicability of asymptotic theory in providing abasis for the solutions to some of these problems. The author alsoconsiders how the EM algorithm can be scaled to handle the fittingof mixture models to very large databases, as in data miningapplications. This comprehensive, practical guide: * Provides more than 800 references-40% published since 1995 * Includes an appendix listing available mixture software * Links statistical literature with machine learning and patternrecognition literature * Contains more than 100 helpful graphs, charts, and tables Finite Mixture Models is an important resource for both applied andtheoretical statisticians as well as for researchers in the manyareas in which finite mixture models can be used to analyze data.
Ethical Considerations And Bias Detection In Artificial Intelligence Machine Learning Applications
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Author : Jayesh Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2025-07-10
Ethical Considerations And Bias Detection In Artificial Intelligence Machine Learning Applications written by Jayesh Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-10 with Computers categories.
At a time when artificial intelligence (AI) and machine learning (ML) are used to make sensitive societal decisions such as the ones related to criminal justice, healthcare, finance, education, employment, algorithmic fairness and bias mitigation are among the most important but challenging issues at hand. The goal of this book is to provide a holistic view across various disciplines of the ethical base, detection methods, and technical measures for trustworthy AI systems. Starting from a solid foundation of statistical bias, transparency systems and fairness-aware ML models, this book methodically looks at state-of-the-art methodologies, where we highlight their shortcomings and introduce a unified model framework for detecting bias and transparent algorithms. Moving beyond technical diagnoses, it examines key sociotechnical and policy tools that are required to implement AI responsibly, providing guidance to researchers, engineers, policy makers, and organizational leaders. Literature review has been driven following the experimental case, the fairness trade-offs, intersectional bias, explainability and regulatory compliance are discussed in depth by the authors. This work underscores that fairness in automated decision-making systems depends not only on algorithmic accuracy, but also institutional will and stakeholder engagement. The chapters in this book function as both an academic primer and a resourceful handbook, transitioning readers through an ever-growing ethical AI terrain. Whether you are a data scientist building and deploying an algorithm that encourages ethical speech, or a regulator working to create and refine guidelines around such algorithms, this book provides you with both the tools and the understanding you need for ethical technology development and deployment.
Machine Learning Algorithms Using Scikit And Tensorflow Environments
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Author : Baby Maruthi, Puvvadi
language : en
Publisher: IGI Global
Release Date : 2023-12-18
Machine Learning Algorithms Using Scikit And Tensorflow Environments written by Baby Maruthi, Puvvadi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-18 with Computers categories.
Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow. Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, artificial neural networks, prediction, random forest, and regression analysis, this premier reference source is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.
Big Data And Social Science
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Author : Ian Foster
language : en
Publisher: CRC Press
Release Date : 2016-08-10
Big Data And Social Science written by Ian Foster and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-10 with Mathematics categories.
Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.
The Ai Revolution How Artificial Intelligence Will Reshape Our Lives Careers And Future
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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date :
The Ai Revolution How Artificial Intelligence Will Reshape Our Lives Careers And Future written by Rick Spair and has been published by Rick Spair this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Welcome to "The AI Revolution: How Artificial Intelligence Will Reshape Our Lives, Careers, and Future," a comprehensive exploration of one of the most transformative technologies of our time. Artificial Intelligence (AI) is not just a buzzword or a distant futuristic concept; it is a reality that is rapidly reshaping every facet of our lives. From the way we communicate, work, and learn to how we address global challenges, AI is at the forefront of innovation and change. As you delve into this book, you will embark on a journey through the history, development, and profound impact of AI. We will explore the foundational concepts that underpin AI technologies, demystify the jargon that often surrounds this field, and provide a clear understanding of how AI works. More importantly, we will examine the real-world applications of AI across various sectors, highlighting the benefits and challenges that come with integrating AI into our daily lives. The narrative will take you through the corridors of healthcare, where AI is revolutionizing diagnostics and treatment; into the financial world, where it is enhancing fraud detection and customer service; and onto the roads, where autonomous vehicles are becoming a reality. You will see how AI is personalizing education, transforming entertainment, and optimizing retail experiences. Each chapter is designed to provide insights into how AI is currently being utilized and the future possibilities it holds. Beyond the technological advancements, this book delves into the ethical considerations and societal impacts of AI. We will discuss the moral dilemmas, privacy concerns, and the need for transparency and accountability in AI development. Understanding these aspects is crucial for fostering a responsible AI ecosystem that benefits all of humanity. In the chapters dedicated to the future of work, you will learn about the skills and competencies required in an AI-driven job market. We will explore the opportunities and challenges posed by job automation and the importance of continuous learning and adaptability. This book aims to equip you with the knowledge to navigate and thrive in a rapidly changing world. We will also address the vital role of individuals, businesses, and governments in shaping the future of AI. From fostering innovation and ensuring ethical practices to promoting inclusivity and equity, the collective efforts of all stakeholders are essential for creating a balanced and beneficial AI landscape. "The AI Revolution: How Artificial Intelligence Will Reshape Our Lives, Careers, and Future" is not just an academic discourse but a call to action. It encourages readers to engage with AI positively, responsibly, and proactively. As we stand on the brink of this technological revolution, it is imperative to understand its implications and harness its potential to create a better, more equitable world. Join us as we explore the fascinating world of AI, understand its transformative power, and envision a future where technology and humanity coexist harmoniously for the greater good.
An Intelligence In Our Image
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Author : Osonde A. Osoba
language : en
Publisher: Rand Corporation
Release Date : 2017-04-05
An Intelligence In Our Image written by Osonde A. Osoba and has been published by Rand Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-05 with Computers categories.
Machine learning algorithms and artificial intelligence influence many aspects of life today and have gained an aura of objectivity and infallibility. The use of these tools introduces a new level of risk and complexity in policy. This report illustrates some of the shortcomings of algorithmic decisionmaking, identifies key themes around the problem of algorithmic errors and bias, and examines some approaches for combating these problems.
Computational Science Iccs 2023
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Author : Jiří Mikyška
language : en
Publisher: Springer Nature
Release Date : 2023-06-28
Computational Science Iccs 2023 written by Jiří Mikyška and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-28 with Computers categories.
The five-volume set LNCS 14073-14077 constitutes the proceedings of the 23rd International Conference on Computational Science, ICCS 2023, held in Prague, Czech Republic, during July 3-5, 2023. The total of 188 full papers and 94 short papers presented in this book set were carefully reviewed and selected from 530 submissions. 54 full and 37 short papers were accepted to the main track; 134 full and 57 short papers were accepted to the workshops/thematic tracks. The theme for 2023, "Computation at the Cutting Edge of Science", highlights the role of Computational Science in assisting multidisciplinary research. This conference was a unique event focusing on recent developments in scalable scientific algorithms, advanced software tools; computational grids; advanced numerical methods; and novel application areas. These innovative novel models, algorithms, and tools drive new science through efficient application in physical systems, computational and systems biology, environmental systems, finance, and others.
Dynamics Of Disasters
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Author : Ilias S. Kotsireas
language : en
Publisher: Springer Nature
Release Date : 2024-12-23
Dynamics Of Disasters written by Ilias S. Kotsireas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-23 with Mathematics categories.
Based on the “Sixth International Conference on Dynamics of Disasters” (Piraeus, Greece, July 2023), this volume includes contributions from experts who share their latest discoveries on disasters either caused by natural phenomena or human activities. Authors provide overviews of the tactical points involved in disaster relief, outlines of hurdles from mitigation and preparedness to response and recovery and uses for mathematical models to describe disasters and their impacts. This volume includes additional invited manuscripts from other experts and leaders in the field. Topics covered include economics, optimization, machine learning, government, management, business, humanities, engineering, medicine, mathematics, computer science, behavioral studies, emergency services, and environmental studies and will engage readers from a wide variety of fields and backgrounds.