Tag: algorithmic bias

A critical narrative review in BMC Medical Education identifies five recurring domains of ethical concern in AI-driven medical education and ...

A new perspective in Intensive Care Medicine argues that tidal volumes scaled to predicted body weight systematically overestimate lung size ...

A new editorial synthesizing ten studies argues that artificial intelligence is transforming social engineering from human-devised deception into an AI-mediated ...

A large-scale evaluation of five large language models found that drug recommendations collapse onto a single product in nearly every ...

Researchers have introduced ε-iFair, the first job recommendation algorithm with a tunable ε-individual fairness guarantee that also keeps recommendations calibrated ...

A critical integrative review argues that fashion higher education requires a domain-specific AI literacy framework, proposing the Fashion AI Literacy ...

A design science study proposes DDDM-FRAME, an untested six-layer conceptual model that embeds privacy, fairness, transparency and accountability throughout data-driven ...

A conceptual study proposes combining AI-driven quality monitoring with continuous institutional learning, while warning that the proposed framework still requires ...

A critical narrative review finds that AI improves detection in mammography and colonoscopy but does not improve complex diagnostic reasoning, ...

A review finds that AI-enabled microfluidic wearables and implants could support continuous personalized monitoring, but clinical adoption requires stable materials, ...