Machine-learning algorithms are transforming healthcare diagnostics and prognostics. However, they sometimes underperform for groups underrepresented in their training data. Vandersluis and Savulescu have suggested selectively deploying these algorit...
The development and implementation of Artificial Intelligence (AI) health systems represent a great power that comes with great responsibility. Their capacity to improve and transform healthcare involves inevitable risks. A major risk in this regard ...
A prominent critique of cognitive or athletic enhancement claims that certain performance-improving drugs or technologies may 'cheapen' resulting achievements. Considerably less attention has been paid to the impact of enhancement on the value of mor...
Since its launch in November 2022, ChatGPT has become a global phenomenon, sparking widespread public interest in chatbot artificial intelligences (AIs) generally. While not approved for medical use, it is capable of passing all three United States m...
Critics of clinical artificial intelligence (AI) suggest that the technology is ethically harmful because it may lead to the dehumanization of the doctor-patient relationship (DPR) by eliminating moral empathy, which is viewed as a distinctively huma...
Our society, in general, and health care, in particular, faces notable challenges due to the emergence of innovative digital technologies. The use of socially assistive robots in aged care is a particular digital application that provokes ethical ref...
Machine-learning algorithms have the potential to revolutionise diagnostic and prognostic tasks in health care, yet algorithmic performance levels can be materially worse for subgroups that have been underrepresented in algorithmic training data. Giv...
After a wave of breakthroughs in image-based medical diagnostics and risk prediction models, machine learning (ML) has turned into a normal science. However, prominent researchers are claiming that another paradigm shift in medical ML is imminent-due...