As artificial intelligence becomes increasingly embedded in everyday life, concerns have grown around bias in its programming. Many of the tasks performed by AI are simple and innocuous, but as its capabilities expand, so does its potential for wide-ranging impact. Bias can cause artificial intelligence to make decisions that are systematically unfair to particular groups of people, and researchers have found this can cause real harm. Rutgers–Camden researcher Iman Dehzangi, whose most recent article, “A review on deep learning approaches in healthcare systems,” was published in the Journal of Biomedical Informatics, believes institutions must carefully balance the advantages and drawbacks of AI. To read the full story.