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Artificial intelligence in healthcare is the application of artificial intelligence (AI) to analyze and understand complex medical and healthcare data. In some cases, it can exceed or augment human capabilities by providing better or faster ways to diagnose, treat, or prevent disease.
In his AI executive order last week, President Joe Biden included a direction to “ensure fairness throughout the criminal justice system by developing best practices on the use of AI in ...
Forensic nursing is the application of the forensic aspects of healthcare combined with the bio/psycho/social/spiritual education of the registered nurse in the scientific investigation and treatment of trauma and/or death of victims and perpetrators of violence, criminal activity, and traumatic accidents (Lynch, 1991. p.3) [1] In short, forensic nursing is the care of patients intersecting ...
A systematic review of this model, based on 34 randomized control trials and quasi-experimental studies, found that problem-oriented policing is effective at reducing crime and disorder, but had a limited effect on police legitimacy and fear of crime. There is also the risk of overreach, corruption, and abuse of authority, when officers ...
Oklahoma City's police department is one of a handful to experiment with AI chatbots to produce the first drafts of incident reports. Police officers are starting to use AI chatbots to write crime ...
Some worry the artificial intelligence technology could worsen issues like bias or prejudice that may be built into the systems.
Predictive policing uses data on the times, locations and nature of past crimes, to provide insight to police strategists concerning where, and at what times, police patrols should patrol, or maintain a presence, in order to make the best use of resources or to have the greatest chance of deterring or preventing future crimes.
The use of AI in applications such as online trading and decision-making has changed major economic theories. [66] For example, AI-based buying and selling platforms estimate personalized demand and supply curves, thus enabling individualized pricing. AI systems reduce information asymmetry in the market and thus make markets more efficient. [67]