Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare decisions, regardless of technological improvements or funding.
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When Evidence Can Be Deepfaked, How Do Courts Decide What’s Real?
AI is pushing Canada’s justice system toward a crisis of trust The post When Evidence Can Be Deepfaked, How Do Courts Decide What’s Real? first appeared on The Walrus.
Finance Minister Nirmala Sitharaman is all set to present the Union Budget 2026-27 on Sunday, February 1, amid global ...
AI transcription tools promise efficiency but bring legal exposure, surveillance risks, and threats to fundamental rights.
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
Young children are more inclined to believe incorrect math information from men than accurate information from women, ...
Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...
Triage, Critical Clinical Workflow Process, Chest Pain, Electrocardiogram (EKG), Door-to-EKG (DTE) Time Share and Cite: ...
Background Autism spectrum disorder (ASD) is a neurodevelopmental condition characterised by impairments in social ...
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