Policing in the Era of AI and Smart Societies PDF Download
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Author: Hamid Jahankhani
Publisher: Springer Nature
ISBN: 3030506134
Category : Social Science
Languages : en
Pages : 282
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Book Description
Chapter “Predictive Policing in 2025: A Scenario” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Author: Hamid Jahankhani
Publisher: Springer Nature
ISBN: 3030506134
Category : Social Science
Languages : en
Pages : 282
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Book Description
Chapter “Predictive Policing in 2025: A Scenario” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Author: Andy Phippen
Publisher: Springer Nature
ISBN: 3031314557
Category : Social Science
Languages : en
Pages : 126
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Book Description
This book explores the policing response to teen sexting – the digital exchange, both consensual and non-consensual, of intimate images among youth peers. With a particular focus in England and Wales, it also considers other international responses and the challenges faced in policing youth practices with legislation being applied beyond its intended scope. It uses the police responses in England and Wales as a case study of the challenges of policy evolving the digital cultural phenomenon and the tensions between enforcing the law, while knowing it’s not fit for purpose, and supporting vulnerable minors. It explores the policy responses that have developed from the problematic legislation and whether these policy interventions have helped or hindered the policing process. It draws in parallels with drugs policy and policing, and brings in progressive, harm reduction approaches in contrast to traditional solutions.
Author: Hamid Jahankhani
Publisher: Springer Nature
ISBN: 3030685349
Category : Computers
Languages : en
Pages : 463
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Book Description
This book provides an opportunity for investigators, government officials, systems scientists, strategists, assurance researchers, owners, operators and maintainers of large, complex and advanced systems and infrastructures to update their knowledge with the state of best practice in the challenging domains whilst networking with the leading representatives, researchers and solution providers. Drawing on 12 years of successful events on information security, digital forensics and cyber-crime, the 13th ICGS3-20 conference aims to provide attendees with an information-packed agenda with representatives from across the industry and the globe. The challenges of complexity, rapid pace of change and risk/opportunity issues associated with modern products, systems, special events and infrastructures. In an era of unprecedented volatile, political and economic environment across the world, computer-based systems face ever more increasing challenges, disputes and responsibilities, and whilst the Internet has created a global platform for the exchange of ideas, goods and services, it has also created boundless opportunities for cyber-crime. As an increasing number of large organizations and individuals use the Internet and its satellite mobile technologies, they are increasingly vulnerable to cyber-crime threats. It is therefore paramount that the security industry raises its game to combat these threats. Whilst there is a huge adoption of technology and smart home devices, comparably, there is a rise of threat vector in the abuse of the technology in domestic violence inflicted through IoT too. All these are an issue of global importance as law enforcement agencies all over the world are struggling to cope.
Author: Andrew Guthrie Ferguson
Publisher: NYU Press
ISBN: 147986997X
Category : Law
Languages : en
Pages : 267
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Book Description
Winner, 2018 Law & Legal Studies PROSE Award The consequences of big data and algorithm-driven policing and its impact on law enforcement In a high-tech command center in downtown Los Angeles, a digital map lights up with 911 calls, television monitors track breaking news stories, surveillance cameras sweep the streets, and rows of networked computers link analysts and police officers to a wealth of law enforcement intelligence. This is just a glimpse into a future where software predicts future crimes, algorithms generate virtual “most-wanted” lists, and databanks collect personal and biometric information. The Rise of Big Data Policing introduces the cutting-edge technology that is changing how the police do their jobs and shows why it is more important than ever that citizens understand the far-reaching consequences of big data surveillance as a law enforcement tool. Andrew Guthrie Ferguson reveals how these new technologies —viewed as race-neutral and objective—have been eagerly adopted by police departments hoping to distance themselves from claims of racial bias and unconstitutional practices. After a series of high-profile police shootings and federal investigations into systemic police misconduct, and in an era of law enforcement budget cutbacks, data-driven policing has been billed as a way to “turn the page” on racial bias. But behind the data are real people, and difficult questions remain about racial discrimination and the potential to distort constitutional protections. In this first book on big data policing, Ferguson offers an examination of how new technologies will alter the who, where, when and how we police. These new technologies also offer data-driven methods to improve police accountability and to remedy the underlying socio-economic risk factors that encourage crime. The Rise of Big Data Policing is a must read for anyone concerned with how technology will revolutionize law enforcement and its potential threat to the security, privacy, and constitutional rights of citizens. Read an excerpt and interview with Andrew Guthrie Ferguson in The Economist.
Author: Katy Barrow-Grint
Publisher: Taylor & Francis
ISBN: 1000698637
Category : Social Science
Languages : en
Pages : 148
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Book Description
This book is dedicated to improving the practice of the policing of domestic abuse. Its objective is to help inform those working in policing about the dynamics of how domestic abuse occurs, how best to respond to and investigate it, and in the longer term how to prevent it. Divided into thematic areas, the book uses recent research findings to update some of the theoretical analysis and to highlight areas of good practice: ‘what works and why’. An effective investigation and the prosecution of offenders are considered, as well as an evaluation of the success of current treatment options. Policing domestic abuse can only be dealt with through an effective partnership response. The responsibilities of each agency and the statutory processes in place when policy is not adhered to are outlined. Core content includes: A critique of definitions and theoretical approaches to domestic abuse, including coverage of the myths surrounding domestic abuse and their impact on policing. An exploration on the challenges of collecting data on domestic abuse, looking at police data and the role of health and victim support services. A critical review of different forms of abuse, different perpetrators and victims, and risk assessment tools used by the police. A critical examination of the law relating to domestic abuse; how police resources are deployed to respond to and manage it; and best practice in investigation, gathering evidence, and prosecution Key perspectives on preventing domestic abuse, protecting victims, and reducing harm. Written with the student and budding practitioner in mind, this book is filled with case studies, current research, reports, and media examples, as well as a variety of reflective questions and a glossary of key terms, to help shed light on the challenges of policing domestic violence and the links between academic research and best practice.
Author: Miltiadis Lytras
Publisher: Elsevier
ISBN: 0323985777
Category : Computers
Languages : en
Pages : 296
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Book Description
Digital Transformation in Healthcare in Post-Covid19 Times discusses recent advances in patient care and offers critical comparative insights into their application across multiple domains in healthcare. By showcasing key problems, best practices and emerging challenges, the book offers a state-of-art review of opportunities and prospects in the process of delivering smart sustainable healthcare services. Topics discussed include healthcare challenges in the post-COVID-19 era, enabling technologies for digital transformation, value driven approaches to the delivery of patient centric top-quality health services, and analytics and enhanced decision making. In addition, the book updates knowledge on best practices for training towards digital transformation and sustainable health. This is a valuable resource for healthcare professionals, medical doctors, researchers, graduate students and members of the biomedical field who are interested in learning more about the use of emerging technologies in healthcare. Holistically discusses the new landscape of digital transformation and sustainability in health Presents a case study driven approach based on real-world scenarios to help readers apply the knowledge gained into practice Promotes sound research on the impact of emerging technologies in health and life specialties and their relevant role during the COVID-19 pandemic
Author: Aminabee Shaik
Publisher: Springer Nature
ISBN: 9819987458
Category :
Languages : en
Pages : 484
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Book Description
Author: Jamil Afzal
Publisher: Springer Nature
ISBN: 9819771064
Category :
Languages : en
Pages : 216
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Book Description
Author: Hamid Jahankhani
Publisher: Springer Nature
ISBN: 3030721205
Category : Computers
Languages : en
Pages : 466
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Book Description
The year 2020 and the COVID-19 pandemic marked a huge change globally, both in working and home environments. They posed major challenges for organisations around the world, which were forced to use technological tools to help employees work remotely, while in self-isolation and/or total lockdown. Though the positive outcomes of using these technologies are clear, doing so also comes with its fair share of potential issues, including risks regarding data and its use, such as privacy, transparency, exploitation and ownership. COVID-19 also led to a certain amount of paranoia, and the widespread uncertainty and fear of change represented a golden opportunity for threat actors. This book discusses and explains innovative technologies such as blockchain and methods to defend from Advanced Persistent Threats (APTs), some of the key legal and ethical data challenges to data privacy and security presented by the COVID-19 pandemic, and their potential consequences. It then turns to improved decision making in cyber security, also known as cyber situational awareness, by analysing security events and comparing data mining techniques, specifically classification techniques, when applied to cyber security data. In addition, the book illustrates the importance of cyber security, particularly information integrity and surveillance, in dealing with an on-going, infectious crisis. Aspects addressed range from the spread of misinformation, which can lead people to actively work against measures designed to ensure public safety and minimise the spread of the virus, to concerns over the approaches taken to monitor, track, trace and isolate infectious cases through the use of technology. In closing, the book considers the legal, social and ethical cyber and information security implications of the pandemic and responses to it from the perspectives of confidentiality, integrity and availability.
Author: D. Jude Hemanth
Publisher: CRC Press
ISBN: 100096468X
Category : Medical
Languages : en
Pages : 251
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Book Description
The main focus of this book is the examination of women’s health issues and the role machine learning can play as a solution to these challenges. This book will illustrate advanced, innovative techniques/frameworks/concepts/machine learning methodologies, enhancing the future healthcare system. Combating Women’s Health Issues with Machine Learning: Challenges and Solutions examines the fundamental concepts and analysis of machine learning algorithms. The editors and authors of this book examine new approaches for different age-related medical issues that women face. Topics range from diagnosing diseases such as breast and ovarian cancer to using deep learning in prenatal ultrasound diagnosis. The authors also examine the best machine learning classifier for constructing the most accurate predictive model for women’s infertility risk. Among the topics discussed are gender differences in type 2 diabetes care and its management as it relates to gender using artificial intelligence. The book also discusses advanced techniques for evaluating and managing cardiovascular disease symptoms, which are more common in women but often overlooked or misdiagnosed by many healthcare providers. The book concludes by presenting future considerations and challenges in the field of women’s health using artificial intelligence. This book is intended for medical researchers, healthcare technicians, scientists, programmers and graduate-level students looking to understand better and develop applications of machine learning/deep learning in healthcare scenarios, especially concerning women’s health conditions.
