Careline Health Group, a healthcare organization that provides Hospice and Physician Service care for families and patients who face serious or terminal illness, has implemented Muse Healthcare's machine learning and predictive modeling tools to meet the needs of their patients. The Muse technology evaluates and models every clinical assessment, medication, vital sign and other relevant data to perform a risk stratification of these patients. The tool then highlights the patients with the most critical needs and visually alerts the agency to perform additional care. It also makes accurate changes to the care plans based on the condition and location of the patient (LTC, SNF or in home). According to Careline Health Group's Chief Executive Officer, Joe Mead, data from Muse provides meaningful insights for their patients.

Self-driving cars and robots that can zoom on their own around warehouses are just some of what's possible because of artificial intelligence. But expect unforeseen consequences if researchers ignore the inherent ethical dilemmas in the emerging technology. That's one of the takeaways from a panel about AI ethics and education in San Francisco that was hosted by the Future of Life Institute, a research group focused on preventing societal problems created by the technology. Although humans typically program AI-powered robots to accomplish a particular goal, these robots will typically make decisions on their own to reach the goal, explained Benjamin Kuipers, a computer science professor and AI researcher at the University of Michigan. Get Data Sheet, Fortune's technology newsletter.

Self-driving cars and robots that can zoom on their own around warehouses are just some of what's possible because of artificial intelligence. But expect unforeseen consequences if researchers ignore the inherent ethical dilemmas in the emerging technology. That's one of the takeaways from a panel about AI ethics and education in San Francisco that was hosted by the Future of Life Institute, a research group focused on preventing societal problems created by the technology. Although humans typically program AI-powered robots to accomplish a particular goal, these robots will typically make decisions on their own to reach the goal, explained Benjamin Kuipers, a computer science professor and AI researcher at the University of Michigan. It's these smaller decisions that robots make on their own that can cause trouble because human programmers may fail to take all of a robot's possible choices into account, Kuipers said.