•  
  •  
 

Abstract

Artificial intelligence is a new technology that has paved a path into the future for our healthcare sectors. This technology uses machine learning methods and big data to conduct its intended purpose within its designated parameters; however, researchers and consumers have experienced unintended outcomes. Artificial intelligence is deployed throughout our daily lives, so our society looks at this immense responsibility superficially. As organizational leaders experience short-sighted tunnel vision and push for innovative artificially intelligent programs, they do not realize the potential severe dangers.

This paper argues for a graded approach to studying and implementing artificially intelligent machines in healthcare. Our academic settings lack sufficient resources, backing, and prior knowledge to effectively examine and document these complex systems. Sensitive topics and imagery will be presented to highlight the hazards of these programs, and case studies will be analyzed to observe the past failure and successes of automatic computer algorithms.

Download

Share

COinS