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.
Recent Posts
- Scientists May Have Discovered Reason for Long COVID Brain Fog—Here’s Why It Matters.
- Are You at Risk for Addiction?
- NJ health inequities are focus of Rutgers symposium.
- Rutgers drops longstanding COVID-19 vaccine policy for students, faculty.
- AI at Princeton: Pushing limits, accelerating discovery and serving humanity.