O’Leary, Daniel E. at Intelligent Systems, IEEE : “The goals of big data and privacy are fundamentally opposed to each other. Big data and knowledge discovery are aimed reducing information asymmetries between organizations and the data sources, whereas privacy is aimed at maintaining information asymmetries of data sources. A number of different definitions of privacy are used to investigate some of the tensions between different characteristics of big data and potential privacy concerns. Specifically, the author examines the consequences of unevenness in big data, digital data going from local controlled settings to uncontrolled global settings, privacy effects of reputation monitoring systems, and inferring knowledge from social media. In addition, the author briefly analyzes two other emerging sources of big data: police cameras and stingray for location information….(More)”
How to contribute:
Did you come across – or create – a compelling project/report/book/app at the leading edge of innovation in governance?
Share it with us at info@thelivinglib.org so that we can add it to the Collection!
About the author
Get the latest news right in you inbox
Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday
Related articles
INSTITUTIONAL INNOVATION
Why PeaceTech must be the next frontier of innovation and investment
Posted in June 18, 2025 by Stefaan Verhulst
artificial intelligence
Sharing trustworthy AI models with privacy-enhancing technologies
Posted in June 17, 2025 by Stefaan Verhulst
INSTITUTIONAL INNOVATION
2025 State of the Digital Decade
Posted in June 17, 2025 by Stefaan Verhulst