Algorithmic Rights and Protections for Children

Algorithmic Rights and Protections for Children PDF

Author: Mizuko Ito

Publisher: MIT Press

Published: 2023-06-27

Total Pages: 293

ISBN-13: 0262545489

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Essays on the challenges and risks of designing algorithms and platforms for children, with an emphasis on algorithmic justice, learning, and equity. One in three Internet users worldwide is a child, and what children see and experience online is increasingly shaped by algorithms. Though children’s rights and protections are at the center of debates on digital privacy, safety, and Internet governance, the dominant online platforms have not been constructed with the needs and interests of children in mind. The editors of this volume, Mizuko Ito, Remy Cross, Karthik Dinakar, and Candice Odgers, focus on understanding diverse children’s evolving relationships with algorithms, digital data, and platforms and offer guidance on how stakeholders can shape these relationships in ways that support children’s agency and protect them from harm. This book includes essays reporting original research on educational programs in AI relational robots and Scratch programming, on children’s views on digital privacy and artificial intelligence, and on discourses around educational technologies. Shorter opinion pieces add the perspectives of an instructional designer, a social worker, and parents. The contributing social, behavioral, and computer scientists represent perspectives and contexts that span education, commercial tech platforms, and home settings. They analyze problems and offer solutions that elevate the voices and agency of parents and children. Their essays also build on recent research examining how social media, digital games, and learning technologies reflect and reinforce unequal childhoods. Contributors: Paulo Blikstein, Izidoro Blikstein, Marion Boulicault, Cynthia Breazeal, Michelle Ciccone, Sayamindu Dasgupta, Devin Dillon, Stefania Druga, Jacqueline M. Kory-Westlund, Aviv Y. Landau, Benjamin Mako Hill, Adriana Manago, Siva Mathiyazhagan, Maureen Mauk, Stephanie Nguyen, W. Ian O’Byrne, Kathleen A. Paciga, Milo Phillips-Brown, Michael Preston, Stephanie M. Reich, Nicholas D. Santer, Allison Stark, Elizabeth Stevens, Kristen Turner, Desmond Upton Patton, Veena Vasudevan, Jason Yip

Child Protection and Safeguarding Technologies

Child Protection and Safeguarding Technologies PDF

Author: Maggie Brennan

Publisher: Routledge

Published: 2019-08-22

Total Pages: 63

ISBN-13: 1351370332

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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.

Children of the Code

Children of the Code PDF

Author: Karthik Karunakaran

Publisher: Independently Published

Published: 2024-06-09

Total Pages: 0

ISBN-13:

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In "CHILDREN OF THE CODE," acclaimed author and tech expert Dr. Karthik Karunakaran provides an in-depth look at how algorithms shape children's lives today. This essential guide explores: 1. Integration of Algorithms: How algorithms are embedded in children's daily activities. 2. Historical Context: The evolution of technology's role in child development. 3. Popular Apps and Games: The effects of algorithm-driven apps and games on kids. 4. Play and Learning: Impacts on traditional play and learning methods. 5. Screen Time: Cognitive, emotional, and social effects of excessive screen use. 6. Educational Technologies: Benefits and drawbacks of adaptive learning tools. 7. Parental Use: How parents use technology for entertainment and education. 8. Social Media: The influence of social media algorithms on young users. 9. Data Privacy: Legal and ethical issues in children's digital privacy. 10. Mental Health: The relationship between algorithmic content and children's mental health. 11. Mitigation Strategies: Tools for parents to manage children's digital exposure. 12. Tech Company Responsibilities: The role of tech companies in protecting young users. Perfect for parents, educators, and policymakers, this book offers clear insights and practical strategies to navigate the digital landscape, ensuring a safer and more enriching environment for children.

Predictive Analytics

Predictive Analytics PDF

Author: Eric Siegel

Publisher: John Wiley & Sons

Published: 2016-01-13

Total Pages: 368

ISBN-13: 1119145686

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"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 consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

Safeguarding Adults Online

Safeguarding Adults Online PDF

Author: Bond, Emma

Publisher: Policy Press

Published: 2022-07-01

Total Pages: 152

ISBN-13: 1447360605

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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.

Technological Tools for Predicting Pregnancy Complications

Technological Tools for Predicting Pregnancy Complications PDF

Author: Satishkumar, D.

Publisher: IGI Global

Published: 2023-10-09

Total Pages: 429

ISBN-13:

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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.

Algorithmic Regulation

Algorithmic Regulation PDF

Author: Karen Yeung

Publisher: Oxford University Press

Published: 2019-09-05

Total Pages: 304

ISBN-13: 0192575430

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As the power and sophistication of of 'big data' and predictive analytics has continued to expand, so too has policy and public concern about the use of algorithms in contemporary life. This is hardly surprising given our increasing reliance on algorithms in daily life, touching policy sectors from healthcare, transport, finance, consumer retail, manufacturing education, and employment through to public service provision and the operation of the criminal justice system. This has prompted concerns about the need and importance of holding algorithmic power to account, yet it is far from clear that existing legal and other oversight mechanisms are up to the task. This collection of essays, edited by two leading regulatory governance scholars, offers a critical exploration of 'algorithmic regulation', understood both as a means for co-ordinating and regulating social action and decision-making, as well as the need for institutional mechanisms through which the power of algorithms and algorithmic systems might themselves be regulated. It offers a unique perspective that is likely to become a significant reference point for the ever-growing debates about the power of algorithms in daily life in the worlds of research, policy and practice. The range of contributors are drawn from a broad range of disciplinary perspectives including law, public administration, applied philosophy, data science and artificial intelligence. Taken together, they highlight the rise of algorithmic power, the potential benefits and risks associated with this power, the way in which Sheila Jasanoff's long-standing claim that 'technology is politics' has been thrown into sharp relief by the speed and scale at which algorithmic systems are proliferating, and the urgent need for wider public debate and engagement of their underlying values and value trade-offs, the way in which they affect individual and collective decision-making and action, and effective and legitimate mechanisms by and through which algorithmic power is held to account.

Shielding the Future: A Parent's Guide to Child Safety

Shielding the Future: A Parent's Guide to Child Safety PDF

Author: Gracelyn G. Glover

Publisher: Book Lovers HQ

Published: 2024-08-21

Total Pages: 179

ISBN-13:

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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.

The Impact of ChatGPT on Higher Education

The Impact of ChatGPT on Higher Education PDF

Author: Caroline Fell Kurban

Publisher: Emerald Group Publishing

Published: 2024-04-04

Total Pages: 238

ISBN-13: 183797649X

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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.