Some important questions for AI ethics and safety

The healthcare industry faces a series of pressing challenges concerning the implementation of safe and ethical artificial intelligence. But there are resources available for health care teams to help support safe and ethical AI to start them off and set a common foundation for the discussion. As Jessica Newman, director of the AI Security Initiative at the Center for Long Term Cybersecurity at the University of California, Berkeley, explained there are four common types of AI technologies being implemented in healthcare today. The first is predictive and prescriptive analytics, used in healthcare applications like precision medicine, where a system might be used to predict the most successful treatment based upon particular attributes and context. The second type of AI is robotic process automation, or RPA, which is designed to automate and replicate relatively simple, rule based administrative processes and health care.