Latest AI and machine learning research in cultural competence for healthcare professionals.
Networks are crucial components of many sectors, including telecommunications, healthcare, finance, energy, and transportation.The information carried in such networks often contains sensitive user data, like location data for commuters and packet data for online users. Therefore, when considering data release for networks, one must ensure that data release mechanisms do not leak information abo...
Multimodal AI models capable of associating images and text hold promise for numerous domains, ranging from automated image captioning to accessibility applications for blind and low-vision users. However, uncertainty about bias has in some cases limited their adoption and availability. In the present work, we study 43 CLIP vision-language models to determine whether they learn human-like facial...
Large language models (LLMs) are now being considered and even deployed for applications that support high-stakes decision-making, such as recruitme...
Facial Recognition Systems (FRSs) are being developed and deployed globally at unprecedented rates. Most platforms are designed in a limited set of ...
Diversity is a concept of prime importance in almost all disciplines based on information processing. In telecommunications, for example, spatial, t...
Machine learning (ML) datasets, often perceived as neutral, inherently encapsulate abstract and disputed social constructs. Dataset curators frequen...
Deep learning has achieved impressive performance across various medical imaging tasks. However, its inherent bias against specific groups hinders i...
Black box deep learning models trained on genomic sequences excel at predicting the outcomes of different gene regulatory mechanisms. Therefore, int...
Vision-language models (VLMs) pre-trained on extensive datasets can inadvertently learn biases by correlating gender information with specific objec...
An estimated 0.2% of the world population is living with severe deafblindness with approximately ~1.5 million Americans using tactile American Sign La...
Data are essential in developing healthcare artificial intelligence (AI) systems. However, patient data collection, access, and use raise ethical co...
Symbolic mathematical computing systems have served as a canary in the coal mine of software systems for more than sixty years. They have introduced...
In the evolving landscape of computer vision (CV) technologies, the automatic detection and interpretation of gender and emotion in images is a crit...
High-quality Earth Observation (EO) imagery is essential for accurate analysis and informed decision making across sectors. However, data scarcity c...
We consider the dynamics imposed by natural selection on the populations of two competing, sexually reproducing, haploid species. In this setting, t...
The convergence of digital pathology and artificial intelligence could assist histopathology image analysis by providing tools for rapid, automated mo...
Hymenoptera has some of the highest diversity and number of individuals among insects. Many of these species potentially play key roles as food source...
Machine learning models hold great promise with medical applications, but also give rise to a series of ethical challenges. In this survey we focus on...
Artificial intelligence (AI) algorithms are prone to bias at multiple stages of model development, with potential for exacerbating health disparities....
Robots' proliferation throughout society offers many opportunities and conveniences. However, our ability to effectively employ these machines relies ...