Privacy in the Age of AI

Author:

Das Sauvik1,Lee Hao-Ping (Hank)1,Forlizzi Jodi1

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA, USA

Abstract

What has changed and what should we do about it?

Funder

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference10 articles.

1. Das , S. Subversive AI : Resisting automated algorithmic surveillance with human-centered adversarial machine learning . In Resistance AI Workshop at NeurIPS ( 2020 ), 4. Das, S. Subversive AI: Resisting automated algorithmic surveillance with human-centered adversarial machine learning. In Resistance AI Workshop at NeurIPS (2020), 4.

2. Ernala , S.K. et al. Exploring the utility versus intrusiveness of dynamic audience selection on Facebook . In Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2) , ( 2021 ), 1--30. Ernala, S.K. et al. Exploring the utility versus intrusiveness of dynamic audience selection on Facebook. In Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2), (2021), 1--30.

3. The Unreasonable Effectiveness of Data

4. The global landscape of AI ethics guidelines

5. Machine learning: Trends, perspectives, and prospects

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1. SoK: How Artificial-Intelligence Incidents Can Jeopardize Safety and Security;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

2. A Systematic Review of Biometric Monitoring in the Workplace: Analyzing Socio-technical Harms in Development, Deployment and Use;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03

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