Affiliation:
1. Queen Mary University of London, London, United Kingdom
2. University of Nottingham, Nottingham, United Kingdom
3. University of Cambridge, Cambridge, United Kingdom
Abstract
People everywhere are generating ever-increasing amounts of data, often without being fully aware of who is recording what about them. For example, initiatives such as mandated smart metering, expected to be widely deployed in the UK in the next few years and already attempted in countries such as the Netherlands, will generate vast quantities of detailed, personal data about huge segments of the population. Neither the impact nor the potential of this society-wide data gathering are well understood. Once data is gathered, it will be processed -- and society is only now beginning to grapple with the consequences for privacy, both legal and ethical, of these actions, e.g., Brown et al. There is the potential for great harm through, e.g., invasion of privacy; but also the potential for great benefits by using this data to make more efficient use of resources, as well as releasing its vast economic potential. In this editorial we briefly discuss work in this area, the challenges still faced, and some potential avenues for addressing them.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Software
Reference29 articles.
1. Using NHS patient data for research without consent. Law;Brown I.;Innovation and Technology,2010
Cited by
14 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. GuaranTEE;Proceedings of the 4th Workshop on Machine Learning and Systems;2024-04-22
2. A theory of predictive sales analytics adoption;AMS Review;2023-02-13
3. Personal big data pricing method based on differential privacy;Computers & Security;2022-02
4. Sensor Fusion Used in Applications for Hand Rehabilitation: A Systematic Review;IEEE Sensors Journal;2019-05-15
5. Pricing Personal Data Based on Information Entropy;Proceedings of the 2nd International Conference on Software Engineering and Information Management;2019-01-10