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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.
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment , which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.
The impact of artificial intelligence on workers includes both applications to improve worker safety and health, and potential hazards that must be controlled. One potential application is using AI to eliminate hazards by removing humans from hazardous situations that involve risk of stress, overwork, or musculoskeletal injuries.
In a joint statement, the members of the International Network of AI Safety Institutes—which includes AISIs from the U.S., U.K., Australia, Canada, France, Japan, Kenya, South Korea, and ...
President Joe Biden on Monday signed an artificial intelligence executive order, requiring developers of AI systems that pose risks to U.S. national security, the economy, public health or safety ...
Voluntary safety-testing, whether carried out by METR or the AI companies, cannot be relied upon, says Dan Hendrycks, executive director of nonprofit the Center for AI Safety and the safety ...
Regulation of artificial intelligence is the development of public sector ... focusing on high-risk applications like healthcare, education, and public safety. ...
AI alignment is a subfield of AI safety, the study of how to build safe AI systems. [22] Other subfields of AI safety include robustness, monitoring, and capability control . [ 23 ] Research challenges in alignment include instilling complex values in AI, developing honest AI, scalable oversight, auditing and interpreting AI models, and ...
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