Priorities for successful use of artificial intelligence by public health organizations: a literature review

S Fisher, LC Rosella - BMC Public Health, 2022 - Springer
Artificial intelligence (AI) has the potential to improve public health's ability to promote the
health of all people in all communities. To successfully realize this potential and use AI for …

Differential privacy in health research: A scoping review

J Ficek, W Wang, H Chen, G Dagne… - Journal of the American …, 2021 - academic.oup.com
Objective Differential privacy is a relatively new method for data privacy that has seen
growing use due its strong protections that rely on added noise. This study assesses the …

Outsider oversight: Designing a third party audit ecosystem for ai governance

ID Raji, P Xu, C Honigsberg, D Ho - Proceedings of the 2022 AAAI/ACM …, 2022 - dl.acm.org
Much attention has focused on algorithmic audits and impact assessments to hold
developers and users of algorithmic systems accountable. But existing algorithmic …

The use of differential privacy for census data and its impact on redistricting: The case of the 2020 US Census

CT Kenny, S Kuriwaki, C McCartan, ETR Rosenman… - Science …, 2021 - science.org
Census statistics play a key role in public policy decisions and social science research.
However, given the risk of revealing individual information, many statistical agencies are …

The limits of differential privacy (and its misuse in data release and machine learning)

J Domingo-Ferrer, D Sánchez… - Communications of the …, 2021 - dl.acm.org
The limits of differential privacy (and its misuse in data release and machine learning) Page 1
JULY 2021 | VOL. 64 | NO. 7 | COMMUNICATIONS OF THE ACM 33 viewpoints IMA GE B Y …

Vector-indistinguishability: location dependency based privacy protection for successive location data

Y Zhao, J Chen - IEEE Transactions on Computers, 2023 - ieeexplore.ieee.org
With the wide use of GPS enabled devices and Location-Based Services, location privacy
has become an increasingly worrying challenge to our community. Existing approaches …

Balancing data privacy and usability in the federal statistical system

VJ Hotz, CR Bollinger, T Komarova… - Proceedings of the …, 2022 - National Acad Sciences
The federal statistical system is experiencing competing pressures for change. On the one
hand, for confidentiality reasons, much socially valuable data currently held by federal …

Evaluating bias and noise induced by the US Census Bureau's privacy protection methods

CT Kenny, C McCartan, S Kuriwaki, T Simko… - Science Advances, 2024 - science.org
The US Census Bureau faces a difficult trade-off between the accuracy of Census statistics
and the protection of individual information. We conduct an independent evaluation of bias …

Differential privacy and swapping: Examining de-identification's impact on minority representation and privacy preservation in the US census

M Christ, S Radway, SM Bellovin - 2022 IEEE symposium on …, 2022 - ieeexplore.ieee.org
There has been considerable controversy regarding the accuracy and privacy of de-
identification mechanisms used in the US Decennial Census. We theoretically and …

The role of chance in the census bureau database reconstruction experiment

S Ruggles, D Van Riper - Population Research and Policy Review, 2022 - Springer
Abstract The Census Bureau plans a new approach to disclosure control for the 2020
census that will add noise to every statistic the agency produces for places below the state …