Results 11 to 20 of about 16,825 (201)
Designing technical systems to be resistant to bias and discrimination represents vital new terrain for researchers, policymakers, and the anti-discrimination project more broadly. We consider bias and discrimination in the context of popular online dating and hookup platforms in the United States, which we call intimate platforms.
Hutson, Jevan +3 more
openaire +3 more sources
Debiasing Crowdsourced Batches [PDF]
Crowdsourcing is the de-facto standard for gathering annotated data. While, in theory, data annotation tasks are assumed to be attempted by workers independently, in practice, data annotation tasks are often grouped into batches to be presented and annotated by workers together, in order to save on the time or cost overhead of providing instructions or
Zhuang, Honglei +3 more
openaire +4 more sources
Rebiasing: Managing automatic biases over time
Automatic preferences can influence a decision maker’s choice before any relevant or meaningful information is available. We account for this element of human cognition in a computational model of problem solving that involves active trial and error and ...
Aleksey Korniychuk, Eric Luis Uhlmann
doaj +1 more source
Political polarization: a curse of knowledge?
PurposeCould the curse of knowledge influence how antagonized we are towards political outgroups? Do we assume others know what we know but still disagree with us?
Peter Beattie, Marguerite Beattie
doaj +1 more source
Contrastive adversarial gender debiasing
This research contributes a comprehensive analysis of gender bias within contemporary AI language models, specifically examining iterations of the GPT series, alongside Gemini and Llama.
Nicolás Torres
doaj +2 more sources
Comparing fast thinking and slow thinking: The relative benefits of interventions, individual differences, and inferential rules [PDF]
Research on judgment and decision making has suggested that the System 2 process of slow thinking can help people to improve their decision making by reducing well-established statistical decision biases (including base rate neglect, probability matching,
M. Asher Lawson +2 more
doaj +3 more sources
The Debiased Spatial Whittle Likelihood
AbstractWe provide a computationally and statistically efficient method for estimating the parameters of a stochastic covariance model observed on a regular spatial grid in any number of dimensions. Our proposed method, which we call the Debiased Spatial Whittle likelihood, makes important corrections to the well-known Whittle likelihood to account for
Guillaumin, AP +3 more
openaire +7 more sources
Trigonometric words ranking model for spam message classification
Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi +7 more
wiley +1 more source
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance [PDF]
Models for natural language understanding (NLU) tasks often rely on the idiosyncratic biases of the dataset, which make them brittle against test cases outside the training distribution.
Gurevych, Iryna +2 more
core +2 more sources
Expanding Nature’s storytelling: extended reality and debiasing strategies for an eco-agency
Communication in sustainability and environmental sciences is primed to be substantially changed with extended reality technology, as the emergent Metaverse gives momentum to building an urgent pro-environmental mindset.
Cristina M. Reis, António Câmara
doaj +1 more source

