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Springer Discrimination and Privacy in Information Society - Data Mining Ethics

Amazon

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Description

Explore the critical intersection of data mining, profiling, and discrimination in this comprehensive academic work from Springer. This volume examines how vast databases collected for administrative and governmental decision-making can inadvertently create discriminatory outcomes when processed through automated statistical analysis. The book addresses the tension between leveraging data technologies to improve decision speed and effectiveness, whilst safeguarding against unjustified personal selections and privacy violations. Essential reading for professionals, researchers, and policymakers navigating the ethical challenges of large-scale data processing, this scholarly text provides rigorous analysis of how organisations can balance innovation with fairness and legal compliance in the information age.

Key Features

Part of the Studies in Applied Philosophy, Epistemology and Rational Ethics series by Springer, offering peer-reviewed scholarly perspective on data ethics.

Addresses data mining and profiling technologies that identify patterns in large databases and their potential to cause discrimination.

Examines the legal and ethical frameworks governing data collection, storage and processing for governmental and administrative purposes.

Explores solutions for preventing unacceptable discrimination whilst maintaining the effectiveness of automated decision-making systems.

Ideal for academics, legal professionals, data scientists and policymakers concerned with privacy rights and fair algorithmic practices.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
20 September 2014
Listed Since
23 September 2014

Barcode

No barcode data available

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