AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Social Justice

Showing 11 to 20 of 41 articles

Clear Filters

Ethics of Artificial Intelligence in Breast Imaging.

Journal of breast imaging
There is great interest in the development of artificial intelligence (AI) applications for medical imaging in general and specifically in breast imaging. Because of the scale of application and the potential for harm, there has been a parallel inter...

Tracking financing for global common goods for health: A machine learning approach using natural language processing techniques.

Frontiers in public health
OBJECTIVE: Tracking global health funding is a crucial but time consuming and labor-intensive process. This study aimed to develop a framework to automate the tracking of global health spending using natural language processing (NLP) and machine lear...

Who should be first? How and when AI-human order influences procedural justice in a multistage decision-making process.

PloS one
Artificial intelligence (AI) has fundamentally changed the way people live and has largely reshaped organizational decision-making processes. Particularly, AI decision making has become involved in almost every aspect of human resource management, in...

Artificial Intelligence and Cancer Control: Toward Prioritizing Justice, Equity, Diversity, and Inclusion (JEDI) in Emerging Decision Support Technologies.

Current oncology reports
PURPOSE FOR REVIEW: This perspective piece has two goals: first, to describe issues related to artificial intelligence-based applications for cancer control as they may impact health inequities or disparities; and second, to report on a review of sys...

Using the Veil of Ignorance to align AI systems with principles of justice.

Proceedings of the National Academy of Sciences of the United States of America
The philosopher John Rawls proposed the Veil of Ignorance (VoI) as a thought experiment to identify fair principles for governing a society. Here, we apply the VoI to an important governance domain: artificial intelligence (AI). In five incentive-com...

SAF: Stakeholders' Agreement on Fairness in the Practice of Machine Learning Development.

Science and engineering ethics
This paper clarifies why bias cannot be completely mitigated in Machine Learning (ML) and proposes an end-to-end methodology to translate the ethical principle of justice and fairness into the practice of ML development as an ongoing agreement with s...