Parisa Assar

ORCID: 0009-0005-1350-2557
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Decision-Making and Behavioral Economics
  • AI in Service Interactions
  • Explainable Artificial Intelligence (XAI)
  • Misinformation and Its Impacts
  • Qualitative Comparative Analysis Research

Adobe Systems (United States)
2023

Recommender systems are the algorithms which select, filter, and personalize content across many of world's largest platforms apps. As such, their positive negative effects on individuals societies have been extensively theorized studied. Our overarching question is how to ensure that recommender enact values they serve. Addressing this in a principled fashion requires technical knowledge design operation, also critically depends insights from diverse fields including social science, ethics,...

10.1145/3632297 article EN ACM Transactions on Recommender Systems 2023-11-13

Recommender systems are the algorithms which select, filter, and personalize content across many of worlds largest platforms apps. As such, their positive negative effects on individuals societies have been extensively theorized studied. Our overarching question is how to ensure that recommender enact values they serve. Addressing this in a principled fashion requires technical knowledge design operation, also critically depends insights from diverse fields including social science, ethics,...

10.48550/arxiv.2207.10192 preprint EN other-oa arXiv (Cornell University) 2022-01-01
Coming Soon ...