Cultural Competence

Latest AI and machine learning research in cultural competence for healthcare professionals.

3,226 articles

No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages

Research in vision and language has made considerable progress thanks to benchmarks such as COCO. ...

Nov 2024 http://arxiv.org/abs/2411.03769v1

Conditional Vendi Score: An Information-Theoretic Approach to Diversity Evaluation of Prompt-based Generative Models

Text-conditioned generation models are commonly evaluated based on the quality of the generated da...

Nov 2024 http://arxiv.org/abs/2411.02817v1

BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks

Federated Learning (FL) has emerged as a transformative approach in healthcare, enabling collabora...

Nov 2024 http://arxiv.org/abs/2411.01050v1

Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging.

OBJECTIVE: Artificial intelligence (AI) models trained using medical images for clinical tasks often...

Nov 2024 38942737

Colorimetric skin tone scale for improved accuracy and reduced perceptual bias of human skin tone annotations

Human image datasets used to develop and evaluate technology should represent the diversity of hum...

Oct 2024 http://arxiv.org/abs/2410.21005v1

Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery

In the drug discovery process, the low success rate of drug candidate screening often leads to ins...

Oct 2024 http://arxiv.org/abs/2410.20711v2

Local Contrastive Editing of Gender Stereotypes

Stereotypical bias encoded in language models (LMs) poses a threat to safe language technology, ye...

Oct 2024 http://arxiv.org/abs/2410.17739v1

Revisiting Technical Bias Mitigation Strategies

Efforts to mitigate bias and enhance fairness in the artificial intelligence (AI) community have p...

Oct 2024 http://arxiv.org/abs/2410.17433v1

Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning

Deep neural networks (DNNs) suffer from the spectral bias, wherein DNNs typically exhibit a tenden...

Oct 2024 http://arxiv.org/abs/2410.16105v1

Text-to-Image Representativity Fairness Evaluation Framework

Text-to-Image generative systems are progressing rapidly to be a source of advertisement and media...

Oct 2024 http://arxiv.org/abs/2410.14201v1

Diversity-Aware Reinforcement Learning for de novo Drug Design

Fine-tuning a pre-trained generative model has demonstrated good performance in generating promisi...

Oct 2024 http://arxiv.org/abs/2410.10431v2

What is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias

Knowledge Distillation is a commonly used Deep Neural Network (DNN) compression method, which ofte...

Oct 2024 http://arxiv.org/abs/2410.08407v2

Generated Bias: Auditing Internal Bias Dynamics of Text-To-Image Generative Models

Text-To-Image (TTI) Diffusion Models such as DALL-E and Stable Diffusion are capable of generating...

Oct 2024 http://arxiv.org/abs/2410.07884v1

An Effective Theory of Bias Amplification

Machine learning models can capture and amplify biases present in data, leading to disparate test ...

Oct 2024 http://arxiv.org/abs/2410.17263v4

Enhancing End Stage Renal Disease Outcome Prediction: A Multi-Sourced Data-Driven Approach

Objective: To improve prediction of Chronic Kidney Disease (CKD) progression to End Stage Renal Di...

Oct 2024 http://arxiv.org/abs/2410.01859v4

Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoning

Large Language Models (LLMs) have revolutionized natural language processing, yet they struggle wi...

Sep 2024 http://arxiv.org/abs/2409.17270v2

A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research

Recommender systems are essential for personalizing digital experiences on e-commerce sites, strea...

Sep 2024 http://arxiv.org/abs/2409.12651v1

Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models

With the growing adoption of Text-to-Image (TTI) systems, the social biases of these models have c...

Sep 2024 http://arxiv.org/abs/2409.09569v1

OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System

Knowledge representation has been a central aim of AI since its inception. Symbolic Knowledge Grap...

Sep 2024 http://arxiv.org/abs/2409.07497v1

How Data Infrastructure Deals with Bias Problems in Medical Imaging.

The paper discusses biases in medical imaging analysis, particularly focusing on the challenges pose...

Aug 2024 39176898

Lookism: The overlooked bias in computer vision

In recent years, there have been significant advancements in computer vision which have led to the...

Aug 2024 http://arxiv.org/abs/2408.11448v1

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