Active Fairness in Algorithmic Decision Making
© 2019 Copyright held by the owner/author(s). Society increasingly relies on machine learning models for automated decision making. Yet, efficiency gains from automation have come paired with concern for algorithmic discrimination that can systematize inequality. Recent work has proposed optimal pos...
Main Authors: | Noriega-Campero, Alejandro, Bakker, Michiel A, Garcia-Bulle, Bernardo, Pentland, Alex 'Sandy' |
---|---|
Other Authors: | Massachusetts Institute of Technology. Media Laboratory |
Format: | Article |
Language: | English |
Published: |
Association for Computing Machinery (ACM)
2021
|
Online Access: | https://hdl.handle.net/1721.1/137087 |
Similar Items
-
Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making Using Confidence Thresholds
by: Bakker, Michiel, et al.
Published: (2022) -
Fair, Transparent, and Accountable Algorithmic Decision-making Processes
by: Lepri, Bruno, et al.
Published: (2019) -
Fair enough: Improving fairness in budget-constrained decision making using confidence thresholds
by: Bakker, M, et al.
Published: (2021) -
Algorithmic Fairness in Sequential Decision Making
by: Sun, Yi
Published: (2023) -
Human and artificial intelligence in decision systems for social development
by: Noriega Campero, Alejandro.
Published: (2020)