research
∙
06/15/2023
Safeguarding Crowdsourcing Surveys from ChatGPT with Prompt Injection
ChatGPT and other large language models (LLMs) have proven useful in cro...
share
research
∙
07/19/2022
Metadata Representations for Queryable ML Model Zoos
Machine learning (ML) practitioners and organizations are building model...
research
∙
05/09/2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems
In an effort to regulate Machine Learning-driven (ML) systems, current a...
research
∙
10/05/2021
Empowering Local Communities Using Artificial Intelligence
Many powerful Artificial Intelligence (AI) techniques have been engineer...
research
∙
01/21/2021
Active Hybrid Classification
Hybrid crowd-machine classifiers can achieve superior performance by com...
research
∙
11/11/2020
Active Learning from Crowd in Document Screening
In this paper, we explore how to efficiently combine crowdsourcing and m...
research
∙
10/27/2020
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics
The way pages are ranked in search results influences whether the users ...
research
∙
11/06/2019
Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity
Machine Learning (ML) is increasingly applied in real-life scenarios, ra...
research
∙
11/06/2019
Unfairness towards subjective opinions in Machine Learning
Despite the high interest for Machine Learning (ML) in academia and indu...
research
∙
07/25/2018
A User Modeling Pipeline for Studying Polarized Political Events in Social Media
This paper presents a user modeling pipeline to analyze discussions and ...
research
∙
09/05/2017
