Tentative Program
Time (UAE) Session
14:00 -14:05 Welcome / Greetings
14:05 - 14:50 Keynote by Prof. Yue Feng (University of Birmingham)
Pretrained multilingual models exhibit social biases similar to those observed in models trained on English-only data. This presentation is based on a systematic review of recent research that extends bias evaluation and mitigation beyond English, with a focus on multilingual and non-English contexts. We analyze existing benchmarks through the lenses of linguistic diversity, cultural awareness, and the evaluation metrics and mitigation strategies they employ. Our review highlights key gaps in prevailing methodological choices, while also cataloguing common challenges and solutions in adapting bias benchmarks across languages and cultures.
14:50 - 16:20 Computational reproducibility tutorial (With coffee break)
16:20 - 17:25 Paper presentations (12 mins, with 4mins for QA)
Who shapes Web standards? Uncovering the main topics of interest in the W3C
Exploring Philosophical and Ideological Dimensions in Melancholic Instagram Comments: A Mixed-Methods Text Analytics Approach
Data Workflow Acceleration: A Smart System for Redundancy Elimination in Machine Learning Pipelines
The Verification Crisis: Expert Perceptions of GenAI Disinformation and the Case for Reproducible Provenance
Automating Computational Reproducibility in Social Science: Comparing LLM-Based and Agentic Approaches
*Licensed to Create: Monetizing Real Identities in Generative AI (5mins, without QA)
17:25 - 17:30 Closing