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This book explores, through a children’s rights-based perspective, the emergence of a safeguarding dystopia in child online protection that has emerged from a tension between an over-reliance in technical solutions and a lack of understanding around code and algorithm capabilities. The text argues that a safeguarding dystopia results in docile children, rather than safe ones, and that we should stop seeing technology as the sole solution to online safeguarding. The reader will, through reading this book, gain a deeper understanding of the current policy arena in online safeguarding, what causes children to beocme upset online, and the doomed nature of safeguarding solutions. The book also features a detailed analysis of issues surrounding content filtering, access monitoring, surveillance, image recognition, and tracking. This book is aimed at legal practitioners, law students, and those interested in child safeguarding and technology.
Examines the crucial role of nurses and other public health professionals in child protection.
"Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a
In an ever-evolving educational landscape, traditional methods face unprecedented challenges. The Impact of ChatGPT on Higher Education takes you on a trailblazing journey into ChatGPT's transformative potential and the ethical considerations in higher education.
Comprehensive coverage of critical issues related to information science and technology.
This edited volume analyses the digital development of the European Union, presenting an interdisciplinary perspective from the disciplines of political science, international relations, economics, and law. The contributions address the main areas where the EU can, and should act, for creating an efficient and protective digital space in Europe. The book highlights the responsibility of the European Union to work on the future of its digital development, looking for prosperity and defending the European conception of society. It explains how European values must be incorporated into the digital revolution and shows how the digital revolution of the EU will defend the Europeans from new threats. The book's comprehensive approach allows the reader to understand this process without in-depth knowledge of the specific discipline. Therefore, it is a must-read for everybody interested in a better understanding of digital development, European Union policy, and the future of Europe.
This much-needed volume fills an overlooked gap in adult safeguarding – the digital arena – in providing a comprehensive overview of policy and practice in supporting vulnerable adults online. Providing an essential analysis illustrated by recent court rulings and case studies, the authors advocate for the effective support of adults with learning disabilities and/or mental capacity issues in their digital lives without compromising their privacy and participation rights. The text balances a theoretical exploration of the tensions between participation and protection, legislation, human rights, professional biases and social wrongs. It encourages a critical approach in adopting both a practical and realistic understanding for policy makers, professionals and students in social work, law and adult social care.
The lack of comprehensive, innovative insights into the intricate world of pregnancy complication prediction is a pressing concern, as these complications can severely impact the health and wellbeing of pregnant patients. As the complexities of maternal healthcare continue to evolve, scholars grapple with the challenge of staying at the forefront of research and innovation in this critical field. The unpredictability of pregnancy complications poses significant risks to positive patient outcomes, demanding novel approaches to diagnosis and prevention. The academic community seeks a solution that can bridge the gap between traditional research and the transformative potential of technological advancements in healthcare. Technological Tools for Predicting Pregnancy Complications not only identify the problem but offer an authoritative solution. It serves as a beacon of knowledge for academic scholars, providing a holistic exploration of how Artificial Intelligence (AI) and Machine Learning (ML) technologies can revolutionize maternal healthcare. With a laser focus on predictive models, comprehensive health data analysis, and innovative algorithmic approaches, this book equips scholars with the tools they need to navigate the ever-evolving landscape of pregnancy complications. Academic scholars will find a treasure trove of insights, spanning from the fundamentals of AI and ML in healthcare to the application of IoT devices and wearable sensors for expectant mothers.
In a world of uncertainties, keeping your child safe is a priority every parent shares. Shielding the Future: A Parent's Guide to Child Safety is your comprehensive resource for navigating the complex challenges of protecting your child from potential dangers at home, in the community, online, and beyond. This essential guide equips you with practical, actionable strategies to ensure your child's safety across all aspects of life, from infancy through adolescence. With insights on creating a secure home environment, understanding school safety protocols, and teaching your child how to navigate the digital world safely, this book addresses every parent’s concerns with practical advice that can be immediately applied. Each chapter is filled with expert advice tailored to real-life situations, ensuring that you can protect your child and foster their independence in your daily life. Whether you’re looking for ways to childproof your home, manage online risks, or prepare for emergencies during travel, Shielding the Future provides the tools and knowledge you need to stay one step ahead. This indispensable guide empowers you with the confidence and skills to ensure your child's safety, building a foundation of security that will last a lifetime. What You Will Find in This Book: Step-by-step advice on childproofing your home. Essential tips for ensuring your child's safety in public spaces. Practical guidance on online safety and managing screen time. Strategies for addressing bullying, both in person and online. Tips for safe travel, from car seats to international trips. Techniques for fostering emotional safety and resilience in your child. Insights into using technology and community resources for enhanced safety. Secure your child’s future today with Shielding the Future: A Parent's Guide to Child Safety. This guide will provide you with a sense of security, knowing that you have the knowledge and tools to protect your child in a variety of situations.