Ethics dumping in artificial intelligence.

Artificial Intelligence (AI) systems encode not just statistical models and complex algorithms designed to process and analyze data, but also significant normative baggage. This ethical dimension, derived from the underlying code and training data, shapes the recommendations given, behaviors exhibited, and perceptions had by AI. These factors influence how AI is regulated, used, misused, and impacts end-users.

A qualitative exploration of nursing master's research supervision in a private higher education institution.

Background: Completing a Master's thesis is crucial for earning a master's degree and showcasing students' academic and professional skills. However, the process is often challenging owing to its solitary nature and the complexity of its supervisory relationships.

Purpose: This study aimed to explore the experience of Nursing Master's Research Supervision and its impact on their thesis journey.

An examination of Black-White disparities in repeat nonfatal opioid overdose incidents, fatal drug overdose, and all-cause mortality in Detroit, Michigan.

Background: There has been an approximately 38 percent increase in overdose deaths for Black men since 2015 yet estimates vary between major metropolitan areas. It is crucial to examine local data to inform community-driven harm reduction and overdose prevention services. We used administrative data to examine the effect of demographic characteristics and repeated nonfatal opioid overdoses (NFOO) on drug-related and all-cause mortality.