This chapter explores the broader security implications of the Big Data age. To what extent should state agencies make decisions on the basis of no other evidence than algorithmic sorting of messy, raw data? And how do these agencies marry innovation with ethics in order to prevent blowback from the media and public? Michael Mulqueen raises pertinent ethical problems and addresses the need for professional ethics in organisations working on security. It is argued that decisions to deploy Big Data are being made in the absence of any systematic epistemology or methodology to track and manage the influences of human intuition and social processes on that action
The ethics of big data and AI have become the object of much public debate. Technology firms around ...
The adoption of big data analysis in the legal domain is a recent but growing trend that highlights...
The digital economy is built on data—massive streams of data being created, collected, combined and ...
This book brings together an impressive range of academic and intelligence professional perspectives...
This book brings together an impressive range of academic and intelligence professional perspectives...
Abstract—over the past ten years, data has grown on the Internet, and we are the fuel and haste of t...
Big data analytics has remarkably transformed every sector of the world, including the Emergency Ser...
The speed of development in Big Data and associated phenomena, such as social media, has surpassed t...
This chapter introduces the rationale for the book. It explains why Big Data is one of the most prom...
Changes in technology that have allowed organizations to capture, transmit, store, and analyze data ...
This chapter introduces the rationale for the book. It explains why Big Data is one of the most prom...
The capacity to collect and analyse data is growing exponentially. Referred to as 'Big Data', this s...
The chapter will outline recent cases and controversies (such as the use of facial recognition at No...
This is an introduction to the special issue of “Ethics as Methods: Doing Ethics in the Era of Big D...
In this presentation I explain why taking care of the ethics involved in AI in a big data context is...
The ethics of big data and AI have become the object of much public debate. Technology firms around ...
The adoption of big data analysis in the legal domain is a recent but growing trend that highlights...
The digital economy is built on data—massive streams of data being created, collected, combined and ...
This book brings together an impressive range of academic and intelligence professional perspectives...
This book brings together an impressive range of academic and intelligence professional perspectives...
Abstract—over the past ten years, data has grown on the Internet, and we are the fuel and haste of t...
Big data analytics has remarkably transformed every sector of the world, including the Emergency Ser...
The speed of development in Big Data and associated phenomena, such as social media, has surpassed t...
This chapter introduces the rationale for the book. It explains why Big Data is one of the most prom...
Changes in technology that have allowed organizations to capture, transmit, store, and analyze data ...
This chapter introduces the rationale for the book. It explains why Big Data is one of the most prom...
The capacity to collect and analyse data is growing exponentially. Referred to as 'Big Data', this s...
The chapter will outline recent cases and controversies (such as the use of facial recognition at No...
This is an introduction to the special issue of “Ethics as Methods: Doing Ethics in the Era of Big D...
In this presentation I explain why taking care of the ethics involved in AI in a big data context is...
The ethics of big data and AI have become the object of much public debate. Technology firms around ...
The adoption of big data analysis in the legal domain is a recent but growing trend that highlights...
The digital economy is built on data—massive streams of data being created, collected, combined and ...