Dr. Krening’s research has spanned machine learning, human-agent interaction, natural language, dynamics, and control for both AI and robotic systems. Dr. Krening’s doctoral work focused on enabling everyday people who are not machine learning experts to naturally and intuitively teach AI agents to perform tasks through natural language. She is currently exploring many aspects of human-agent interaction, including explainable AI (XAI), ethics in AI, and the design of ML algorithms that foster a positive user experience.
