This paper explores the role and challenges of Artificial Intelligence (AI) algorithms, specifically AI-based software elements, in autonomous driving systems. These AI systems are fundamental in executing real-time critical functions in complex and high-dimensional environments. They handle vital tasks like multi-modal perception, cognition, and decision-making tasks such as motion planning, lane keeping, and emergency braking. A primary concern relates to the ability (and necessity) of AI models to generalize beyond their initial training data. This generalization issue becomes evident in real-time scenarios, where models frequently encounter inputs not represented in their training or validation data. In such cases, AI systems must still function effectively despite facing distributional or domain shifts. This paper investigates the risk associated with overconfident AI models in safety-critical applications like autonomous driving. To mitigate these risks, methods for training AI models that help maintain performance without overconfidence are proposed. This involves implementing certainty reporting architectures and ensuring diverse training data. While various distribution-based methods exist to provide safety mechanisms for AI models, there is a noted lack of systematic assessment of these methods, especially in the context of safety-critical automotive applications. Many methods in the literature do not adapt well to the quick response times required in safety-critical edge applications. This paper reviews these methods, discusses their suitability for safety-critical applications, and highlights their strengths and limitations. The paper also proposes potential improvements to enhance the safety and reliability of AI algorithms in autonomous vehicles in the context of rapid and accurate decision-making processes.

Fox News correspondent Gillian Turner has the latest on the president's focus amid calls for an impeachment inquiry on "Special Report." Six police officers swarmed Porcha Woodruff's Detroit home before 8 a.m. one morning in February while she was getting her 12- and 6-year-old kids ready for school, the federal lawsuit says. "I have a warrant for your arrest, step outside," one of the officers told Woodruff, who initially thought it was a joke, according to the lawsuit. Officers told her she was being arrested for robbery and carjacking. Do you see that I am eight months pregnant?"

The events of this year have some Mother Jones readers turning to books for perspective and comfort. Leonard Jay Hastings of Manchester, Michigan, picked up The Plot Against America and tells us this book about a dictatorship "reminds the reader that the corrective measures lie with the citizen public and not primarily with our present elected officials." Others like Emily Wilkinson in Pasadena, Texas, have immersed themselves in other worlds. Emily says The Hitchhiker's Guide to the Galaxy "provided a welcome escape from reality." We asked you to tell us which books helped get you through 2017.