Latest AI and machine learning research in ethics for healthcare professionals.
Online interpersonal harm, such as cyberbullying and sexual harassment, remains a pervasive issue on social media platforms. Traditional approaches, primarily content moderation, often overlook survivors' needs and agency. We introduce SnuggleSense, a system that empowers survivors through structured sensemaking. Inspired by restorative justice practices, SnuggleSense guides survivors through re...
Using LLMs in healthcare, Computer-Supported Cooperative Work, and Social Computing requires the examination of ethical and social norms to ensure safe incorporation into human life. We conducted a mixed-method study, including an online survey with 111 participants and an interview study with 38 experts, to investigate the AI ethics and social norms in ChatGPT as everyday life tools. This study...
Time series classification (TSC) is a critical task with applications in various domains, including healthcare, finance, and industrial monitoring. ...
The de-identification of private information in medical data is a crucial process to mitigate the risk of confidentiality breaches, particularly whe...
Despite the growing research on users' perceptions of health AI, adolescents' perspectives remain underexplored. This study explores adolescents' pe...
Mass-shooting events pose a significant challenge to public safety, generating large volumes of unstructured textual data that hinder effective inve...
This study critically examines the commonly held assumption that explicability in artificial intelligence (AI) systems inherently boosts user trust....
Objective: This review explores the trustworthiness of multimodal artificial intelligence (AI) systems, specifically focusing on vision-language tas...
Accommodating edge networks between IoT devices and the cloud server in Hierarchical Federated Learning (HFL) enhances communication efficiency with...
Fairness in artificial intelligence (AI) prediction models is increasingly emphasized to support responsible adoption in high-stakes domains such as...
Physics-Informed Kolmogorov-Arnold Networks (PIKANs) are gaining attention as an effective counterpart to the original multilayer perceptron-based P...
Artificial Intelligence (AI) holds great promise for healthcare, promising improved patient outcomes and streamlining processes. Nevertheless, this tr...
In the landscape of Fact-based Judgment Prediction and Explanation (FJPE), reliance on factual data is essential for developing robust and realistic...
As artificial intelligence (AI) becomes embedded in healthcare, trust in medical decision-making is changing fast. This opinion paper argues that tr...
This paper proposes a visual encryption method to ensure the confidentiality of digital images. The model used is based on an autoencoder using aCon...
Lung cancer is the primary cause of cancer death globally, with non-small cell lung cancer (NSCLC) emerging as its most prevalent subtype. Among NSC...
Machine Learning algorithms are ubiquitous in key decision-making contexts such as organizational justice or healthcare, which has spawned a great d...
Free tensors are tensors which, after a change of bases, have free support: any two distinct elements of its support differ in at least two coordina...
This paper proposes the e-person architecture for constructing a unified and incremental development of AI ethics. The e-person architecture takes t...
As global discourse on AI regulation gains momentum, this paper focuses on delineating the impact of ML on autonomy and fostering awareness. Respect...