ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.04699
  4. Cited By
Runtime Monitoring of Dynamic Fairness Properties

Runtime Monitoring of Dynamic Fairness Properties

8 May 2023
T. Henzinger
Mahyar Karimi
Konstantin Kueffner
Kaushik Mallik
ArXivPDFHTML

Papers citing "Runtime Monitoring of Dynamic Fairness Properties"

10 / 10 papers shown
Title
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
Yining She
Sumon Biswas
Christian Kastner
Eunsuk Kang
40
0
0
03 Jan 2025
Lookahead Counterfactual Fairness
Lookahead Counterfactual Fairness
Zhiqun Zuo
Tian Xie
Xuwei Tan
Xueru Zhang
Mohammad Mahdi Khalili
FaML
70
0
0
02 Dec 2024
Is it Still Fair? A Comparative Evaluation of Fairness Algorithms
  through the Lens of Covariate Drift
Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift
Oscar Blessed Deho
Michael Bewong
Selasi Kwashie
Jiuyong Li
Jixue Liu
Lin Liu
Srecko Joksimovic
FaML
16
0
0
19 Sep 2024
Fairness in Reinforcement Learning: A Survey
Fairness in Reinforcement Learning: A Survey
Anka Reuel
Devin Ma
OffRL
FaML
26
4
0
11 May 2024
Visibility into AI Agents
Visibility into AI Agents
Alan Chan
Carson Ezell
Max Kaufmann
K. Wei
Lewis Hammond
...
Nitarshan Rajkumar
David M. Krueger
Noam Kolt
Lennart Heim
Markus Anderljung
13
31
0
23 Jan 2024
Monitoring Algorithmic Fairness under Partial Observations
Monitoring Algorithmic Fairness under Partial Observations
T. Henzinger
Konstantin Kueffner
Kaushik Mallik
MLAU
19
2
0
01 Aug 2023
Monitoring Algorithmic Fairness
Monitoring Algorithmic Fairness
T. Henzinger
Mahyar Karimi
Konstantin Kueffner
Kaushik Mallik
FaML
19
6
0
25 May 2023
Estimating means of bounded random variables by betting
Estimating means of bounded random variables by betting
Ian Waudby-Smith
Aaditya Ramdas
49
148
0
19 Oct 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
How Algorithmic Confounding in Recommendation Systems Increases
  Homogeneity and Decreases Utility
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
A. Chaney
Brandon M Stewart
Barbara E. Engelhardt
CML
161
312
0
30 Oct 2017
1