Articles with public access mandates - Anson KahngLearn more
Available somewhere: 10
WeBuildAI: Participatory framework for algorithmic governance
MK Lee, D Kusbit, A Kahng, JT Kim, X Yuan, A Chan, D See, ...
Proceedings of the ACM on human-computer interaction 3 (CSCW), 1-35, 2019
Mandates: US National Science Foundation, US Department of Defense
Liquid democracy: An algorithmic perspective
A Kahng, S Mackenzie, A Procaccia
Journal of Artificial Intelligence Research 70, 1223-1252, 2021
Mandates: US National Science Foundation, US Department of Defense
Ranking wily people who rank each other
A Kahng, Y Kotturi, C Kulkarni, D Kurokawa, A Procaccia
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Mandates: US National Science Foundation, US Department of Defense
Paradoxes in fair machine learning
P Gölz, A Kahng, AD Procaccia
Advances in Neural Information Processing Systems 32, 2019
Mandates: US National Science Foundation, US Department of Defense
High-throughput cryo-ET structural pattern mining by unsupervised deep iterative subtomogram clustering
X Zeng, A Kahng, L Xue, J Mahamid, YW Chang, M Xu
Proceedings of the National Academy of Sciences 120 (15), e2213149120, 2023
Mandates: US National Science Foundation, US National Institutes of Health, European …
District-fair participatory budgeting
DE Hershkowitz, A Kahng, D Peters, AD Procaccia
Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5464-5471, 2021
Mandates: US National Science Foundation
Hirepeer: Impartial peer-assessed hiring at scale in expert crowdsourcing markets
Y Kotturi, A Kahng, A Procaccia, C Kulkarni
Proceedings of the AAAI conference on artificial intelligence 34 (03), 2577-2584, 2020
Mandates: US National Science Foundation, US Department of Defense
Making right decisions based on wrong opinions
G Benade, A Kahng, AD Procaccia
Proceedings of the 2017 ACM Conference on Economics and Computation, 267-284, 2017
Mandates: US National Science Foundation
Voting with preference intensities
A Kahng, M Latifian, N Shah
Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 5697-5704, 2023
Mandates: Natural Sciences and Engineering Research Council of Canada
Strategyproof Mean Estimation from Multiple-Choice Questions
A Kahng, G Kehne, A Procaccia
International Conference on Machine Learning, 5042-5052, 2020
Mandates: US National Science Foundation, US Department of Defense
Publication and funding information is determined automatically by a computer program