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Found 20 papers, 6 papers with code
Characterizing Knowledge Manipulation in a Russian Wikipedia Fork
Wikipedia is powered by MediaWiki, a free and open-source software that is also the infrastructure for many other wiki-based online encyclopedias.
Unequal Opportunities: Examining the Bias in Geographical Recommendations by Large Language Models
Recent advancements in Large Language Models (LLMs) have made them a popular information-seeking tool among end users.
A Comparison of Human and Machine Learning Errors in Face Recognition
Machine learning applications in high-stakes scenarios should always operate under human oversight.
A Principled Approach for a New Bias Measure
Negative data \emph{bias} is one of those, which tends to result in harmful consequences for specific groups of people.
U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI
Large Generative AI (GAI) models have the unparalleled ability to generate text, images, audio, and other forms of media that are increasingly indistinguishable from human-generated content.
Human-AI Coevolution
Human-AI coevolution, defined as a process in which humans and AI algorithms continuously influence each other, increasingly characterises our society, but is understudied in artificial intelligence and complexity science literature.
Fair multilingual vandalism detection system for Wikipedia
This paper presents a novel design of the system aimed at supporting the Wikipedia community in addressing vandalism on the platform.
Uncovering Bias in Personal Informatics
Personal informatics (PI) systems, powered by smartphones and wearables, enable people to lead healthier lifestyles by providing meaningful and actionable insights that break down barriers between users and their health information.
Human-Centered Responsible Artificial Intelligence: Current & Future Trends
In recent years, the CHI community has seen significant growth in research on Human-Centered Responsible Artificial Intelligence.
Predicting risk of dyslexia with an online gamified test
Dyslexia is a specific learning disorder related to school failure.
Quality-Efficiency Trade-offs in Machine Learning for Text Processing
We attempt to answer these questions in a general way for text processing tasks, considering the trade-offs involving training data size, learning time, and quality obtained.
FA*IR: A Fair Top-k Ranking Algorithm
In this work, we define and solve the Fair Top-k Ranking problem, in which we want to determine a subset of k candidates from a large pool of n >> k candidates, maximizing utility (i. e., select the "best" candidates) subject to group fairness criteria.
Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising
For this reason search engines often provide a service of advanced matching, which automatically finds additional relevant queries for advertisers to bid on.
CASSAurus: A Resource of Simpler Spanish Synonyms
In this work we introduce and describe a language resource composed of lists of simpler synonyms for Spanish.
Visual Congruent Ads for Image Search
The quality of user experience online is affected by the relevance and placement of advertisements.
DysList: An Annotated Resource of Dyslexic Errors
We introduce a language resource for Spanish, DysList, composed of a list of unique errors extracted from a collection of texts written by people with dyslexia.
