Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning

no code implementations • 5 Jun 2023 • Aditya Srinivas Timmaraju, Mehdi Mashayekhi, Mingliang Chen, Qi Zeng, Quintin Fettes, Wesley Cheung, Yihan Xiao, Manojkumar Rangasamy Kannadasan, Pushkar Tripathi, Sean Gahagan, Miranda Bogen, Rob Roudani

While there are many definitions of fairness that could be applicable in the context of personalized systems, we present a framework which we call the Variance Reduction System (VRS) for achieving more equitable outcomes in Meta's ads systems.

Fairness Privacy Preserving +2

Prosocial Norm Emergence in Multiagent Systems

no code implementations • 29 Dec 2020 • Mehdi Mashayekhi, Nirav Ajmeri, George F. List, Munindar P. Singh

It is well recognized that the norms that arise in society are not always beneficial to its members.

Decision Making Fairness