Research Ethics
2 reportsResearch Ethics research examines how institutions, rules, resources, and public choices affect science and its consequences. The practical record is judged through informed consent, conflicts of interest, and primary observations, separating formal commitments from verified implementation.
Implementation data and review records are considered together as the evidence changes. The resulting analysis addresses how requirements are implemented and how ethical approval works, noting where jurisdiction, resources, or data gaps limit evaluation.
Implementation data and review records are considered together as the evidence changes. The resulting analysis addresses how requirements are implemented and how ethical approval works, noting where jurisdiction, resources, or data gaps limit evaluation.
Medical AI Models Face Higher Patient Privacy Risks Than Expected
A new peer-reviewed study finds that diagnostic medical AI models can leak sensitive patient information at rates far above previous estimates, raising concerns about privacy, data security, and the need for robust technical safeguards in clinical machine learning.
AI-Generated Content Challenges Scientific Integrity in Physics Publishing
The rise of large language models is introducing fabricated references and unverifiable data into scientific literature, forcing physicists to scrutinize sources and reinforce core research skills to maintain trust in published results