Fairness in deep learning: A survey on vision and language research
Despite being responsible for state-of-the-art results in several computer vision and natural
language processing tasks, neural networks have faced harsh criticism due to some of their …
language processing tasks, neural networks have faced harsh criticism due to some of their …
Debiasing methods for fairer neural models in vision and language research: A survey
Despite being responsible for state-of-the-art results in several computer vision and natural
language processing tasks, neural networks have faced harsh criticism due to some of their …
language processing tasks, neural networks have faced harsh criticism due to some of their …
Measuring Bias in Search Results Through Retrieval List Comparison
Many IR systems project harmful societal biases, including gender bias, in their retrieved
contents. Uncovering and addressing such biases requires grounded bias measurement …
contents. Uncovering and addressing such biases requires grounded bias measurement …
[HTML][HTML] FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation
Liver transplantation often faces fairness challenges across subgroups defined by sensitive
attributes such as age group, gender, and race/ethnicity. Machine learning models for …
attributes such as age group, gender, and race/ethnicity. Machine learning models for …
[PDF][PDF] Towards Building a DIKW Pyramid for Conversational Systems
J WANG - 2024 - waseda.repo.nii.ac.jp
The integration of artificial intelligence (AI) into the human-knowledge loop has ushered in a
new paradigm where conversational systems play a pivotal role in our daily life. This thesis …
new paradigm where conversational systems play a pivotal role in our daily life. This thesis …