The Defense Advanced Research Projects Agency (DARPA) is seeking proposals to address challenges in artificial intelligence (AI) algorithms and architectures that deeply integrate symbolic reasoning with data-driven machine learning to create robust, assured, and, therefore, trustworthy AI-based systems. Despite recent improvements to machine learning algorithms and assurance technologies, high levels of autonomy remain elusive. "Motivating new thinking and approaches in this space will help assure that autonomous systems will operate safely and perform as intended," said Sandeep Neema, DARPA ANSR program manager, in a press release. "This will be integral to trust, which is key to the Department of Defense's successful adoption of autonomy." DARPA is seeking proposals under its newest AI program, the Assured Neuro Symbolic Learning and Reasoning (ANSR) program, to address these challenges in the form of new, hybrid (neuro-symbolic) AI algorithms that deeply integrate symbolic reasoning with data-driven learning to create robust, assured, and therefore trustworthy systems.