Carlos Castillo, Fairness In Ranking

Carlos Castillo, Fairness in Ranking

Fairness and Bias in Information Retrieval

Fairness and Transparency in Ranking | Carlos Castillo | Pompeu Fabra University

The RMIT CIDDA Research Seminar Series

Fairness and Transparency in Ranking - Carlos Castillo, Sense & Sensibility of AI 1

VAIA - Flanders AI Academy

Fairness and Transparency in Ranking amb Carlos Castillo #CicleOEIAC

Universitat Girona

BIRDS 2020 - Carlos Castillo - Fairness and Transparency in Ranking (keynote talk)

BIAS@ECIR2021 - Keynote: Fairness and Transparency in Ranking

Fairness in Ranking under Disparate Uncertainty

Association for Computing Machinery (ACM)

Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking (KDD2022)

Fairness of Exposure in Rankings

Tutorial 2: Fairness in Rankings and Recommenders

FINDHR presentation

AI Fairness Cluster

FAT* 2019: Keynote Address by Jon Kleinburg - "Fairness, Rankings, and Behavioral Biases"

ACM FAccT Conference

Algorithmic Bias: From Discrimination Discovery to Fairness-Aware Data Mining (Part 1)

Algorithmic Bias: From Discrimination Discovery to Fairness-Aware Data Mining (Part 3)

Trends of Global Crisis in 2025 and Beyond

FA*IR: A tool for fair rankings in search - Meike Zehlike - DTL Conference 2017

DataTransparency Lab

Carlos Castillo at 8th DataBeersBCN