Fairness and Transparency in Recommendation: The Users' Perspective

no code implementations • 16 Mar 2021 • Nasim Sonboli, Jessie J. Smith, Florencia Cabral Berenfus, Robin Burke, Casey Fiesler

Even though the previous work in other branches of AI has explored the use of explanations as a tool to increase fairness, this work has not been focused on recommendation.

Fairness Recommendation Systems

Moderation Challenges in Voice-based Online Communities on Discord

no code implementations • 13 Jan 2021 • Jialun Aaron Jiang, Charles Kiene, Skyler Middler, Jed R. Brubaker, Casey Fiesler

Online community moderators are on the front lines of combating problems like hate speech and harassment, but new modes of interaction can introduce unexpected challenges.

Human-Computer Interaction Computers and Society

Exploring User Opinions of Fairness in Recommender Systems

no code implementations • 13 Mar 2020 • Jessie Smith, Nasim Sonboli, Casey Fiesler, Robin Burke

Algorithmic fairness for artificial intelligence has become increasingly relevant as these systems become more pervasive in society.

Fairness Recommendation Systems