Policing And Intelligence In The Global Big Data Era Volume Ii
Download Policing And Intelligence In The Global Big Data Era Volume Ii PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Policing And Intelligence In The Global Big Data Era Volume Ii book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Policing and Intelligence in the Global Big Data Era, Volume II
Author: Tereza Østbø Kuldova
language: en
Publisher: Springer Nature
Release Date: 2024-09-30
This volume, the second of a two volume set, offers a rich and unique collection of global perspectives on data-driven predictive technologies and the expansion and use of surveillance apparatuses in policing and intelligence, both public and private. Volume II delves into the epistemologies of data, into the imaginaries of accuracy, and fantasies of technosolutionism, utilizing empirical case studies to interrogate the use of data in policing, while raising questions pertaining to governance, ethics and knowledge construction. The chapters span from exploring the construction of clean and dirty data in private and public policing in South Africa, discussions about facial recognition and technopolitics in Brazil, the construction of intelligence and organizational learning in Norwegian police ethics and broader questions of transparency, data quality, and trust in data-driven policing, to the very topical issues of policing of generative AI and the ways in which both authoritarian and liberal democracies, such as China and India, use biopolitics to turn social welfare into surveillance. Academics and students of criminology, social anthropology, critical algorithm studies, critical sociology, and regional studies, will find this timely volume of interest.
Policing and Intelligence in the Global Big Data Era, Volume I
Author: Tereza Østbø Kuldova
language: en
Publisher: Springer Nature
Release Date: 2024-10-17
Policing and Intelligence in the Global Big Data Era, Volume I, the first of a two volume set, presents a rich and unique collection of global perspectives on data-driven predictive technologies and the expansion and use of surveillance apparatuses in policing and intelligence, both public and private. Centered around the notion of ‘algorithmic governance’, this volume explores various practices of abstract and intelligence-led policing within the context of surveillance and regulatory capitalism. Each chapter interrogates these concepts as much as realities on the ground as they play out across the globe – from Russia, USA, India, Brazil to Denmark, Germany and Norway. The volume offers a unique insight into the ways in which technologies and data-driven practices – from facial recognition, predictive algorithms, to generative AI – are reshaping cultures of policing both within and beyond police proper. Particular attention is paid to the simultaneous privatization and pluralization policing and intelligence and to the proliferation of new intelligence actors. Academics, students and readers interested in the fields of criminology, social anthropology, critical algorithm.
AI Marketing and Ethical Considerations in Consumer Engagement
As artificial intelligence (AI) transforms the landscape of marketing, it brings both unprecedented opportunities and complex ethical challenges. AI-driven tools enable businesses to personalize consumer engagement at higher levels, offering tailored experiences that increase customer satisfaction and drive sales. However, these advancements also raise ethical concerns regarding privacy, data usage, and the potential for manipulation. Marketers must navigate this balance between leveraging AI for business growth and ensuring they respect consumer rights, transparency, and trust. This intersection of innovation and ethics requires further exploration of how AI should be applied in consumer engagement strategies. AI Marketing and Ethical Considerations in Consumer Engagement examines the use of AI in business marketing practices. It explores ethical issues in consumer science that might influence the successful integration of AI in organizational processes. This book covers topics such as ethics and law, data privacy, and sustainability, and is a useful resource for business owners, computer engineers, marketing professionals, academicians, researchers, and data scientists.