Information accountability

Author:

Weitzner Daniel J.1,Abelson Harold2,Berners-Lee Tim2,Feigenbaum Joan3,Hendler James4,Sussman Gerald Jay2

Affiliation:

1. Massachusetts Institute of Technology Decentralized Information Group and MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA and World Wide Web Consortium

2. Massachusetts Institute of Technology, Cambridge, MA

3. Yale University, New Haven, CT

4. Rensselaer Polytechnic Institute, Troy, NY

Abstract

With access control and encryption no longer capable of protecting privacy, laws and systems are needed that hold people accountable for the misuse of personal information, whether public or secret.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Cited by 206 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. A Framework to Assess Knowledge Graphs Accountability;2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2023-10-26

2. Rethinking People Analytics With Inverse Transparency by Design;Proceedings of the ACM on Human-Computer Interaction;2023-09-28

3. Tim Berners-Lee’s Research at the Decentralized Information Group at MIT;Linking the World’s Information;2023-07-07

4. Linked Data - The Story So Far;Linking the World’s Information;2023-07-07

5. Web Science: An Interdisciplinary Approach to Understanding the Web;Linking the World’s Information;2023-07-07

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