Latest AI and machine learning research in ethics for healthcare professionals.
Large Language Models (LLMs) are a type of artificial intelligence (AI) that have emerged as powerful tools for a wide range of tasks, paving the way for new applications previously unhandled. The use of LLMs is increasing, especially among students. This study aimed to understand how students perceive and use these technologies for programming tasks. We surveyed students and recent graduates of a...
The integration of AI into healthcare has raised ethical concerns, including algorithmic bias, patient privacy, and accountability. Despite global efforts to establish ethical guidelines for AI, healthcare-specific AI ethics frameworks are actively evolving, with common principles emerging but not yet widely adopted in practice. This study focuses on English-language policy documents and maps glob...
Information security aims to protect confidentiality and prevent information leakage, which inherently conflicts with the goal of information sharing....
Ethical dilemmas exist with decision-making regarding resource allocations, such as critical care, ventilators and other critical equipment, and pharm...
This work introduces the first benchmark for nursing value alignment, consisting of five core value dimensions distilled from international nursing ...
Accurate mapping of irrigation methods is crucial for sustainable agricultural practices and food systems. However, existing models that rely solely...
Preserving data confidentiality during the fine-tuning of open-source Large Language Models (LLMs) is crucial for sensitive applications. This work ...
Large Language Models (LLMs) are poised to transform healthcare under China's Healthy China 2030 initiative, yet they introduce new ethical and pati...
This paper discusses ethics-based strategies for mitigating bias in machine learning models used to predict sepsis onset. The first part discusses how...
In the last few decades, Machine Learning (ML) has achieved significant success across domains ranging from healthcare, sustainability, and the soci...
Ambient intelligence systems (AIS) are increasingly deployed to provide persistent, artificially intelligent, monitoring and documentation of healthca...
The dynamic process of eating-including chewing, biting, swallowing, food items, eating time and rate, mass, environment, and other metrics-may charac...
Open-source text-to-image (TTI) pipelines have become dominant in the landscape of AI-generated visual content, driven by technological advances tha...
Access to legal information is fundamental to access to justice. Yet accessibility refers not only to making legal documents available to the public...
There is an urgent need to develop tools to enable older adults to live healthy, independent lives for as long as possible. To address this need, the ...
Today's ethics of privacy is largely dedicated to defending personal information from big data technologies. This essay goes in the other direction....
The widespread adoption of Artificial Intelligence (AI) has been driven by significant advances in intelligent system research. However, this progre...
Defining fairness in AI remains a persistent challenge, largely due to its deeply context-dependent nature and the lack of a universal definition. W...
Artificial intelligence (AI), after surviving two major AI winters (1974-1980 and 1987-2000), is now growing at an exponential rate. This rapid advanc...
BackgroundAs health education robots may potentially become a significant support force in nursing practice in the future, it is imperative to adhere ...