WGU/C954 - Chapter 12: Artificial Intelligence and Automation Exam Questions and Answers | Latest Update 2026 | Guaranteed Pass

WGU/C954 - Chapter 12: Artificial Intelligence and Automation Exam Questions and Answers | Latest Update 2026 | Guaranteed Pass Artificial Intelligence (AI) - answer-The simulation of human intelligence by machines, enabling them to perform tasks such as learning, reasoning, and problem-solving. Artificial Intelligence (AI) System - answer-A software or hardware system that applies AI techniques to perform tasks that typically require human intelligence. Artificial Narrow Intelligence (ANI) - answer-AI that is specialized in performing a single task or a narrow range of tasks, such as facial recognition or language translation. Artificial Neural Network - answer-A computing system inspired by the structure of the human brain, used in machine learning to recognize patterns and make predictions. Automation - answer-The use of technology to perform tasks with minimal human intervention, often to improve efficiency and reduce errors. Brain Computer Interface (BCI) - answer-A technology that enables direct communication between the brain and an external device, often used in medical or assistive applications. Co-Pilot - answer-An AI assistant designed to augment human capabilities by providing suggestions, automating tasks, or guiding users through complex processes.Computer Vision - answer-A field of AI that enables computers to interpret and make decisions based on visual data from the world. Deep Learning - answer-A subset of machine learning that uses multi-layered neural networks to model complex patterns in large datasets. Edge AI - answer-The deployment of AI algorithms on devices at the edge of the network, closer to the data source, to reduce latency and bandwidth usage. Explainable AI (XAI) - answer-AI systems designed to provide clear, understandable explanations of their decisions and behavior. Generative AI - answer-AI that can create new content such as text, images, or audio, often using models like GPT or diffusion networks. Machine Learning - answer-A method of data analysis that automates model building, allowing systems to learn from data and improve over time without being explicitly programmed. Natural Language Processing (NLP) - answer-A branch of AI focused on enabling computers to understand, interpret, and generate human language. Predictive Modeling - answer-The use of statistical techniques and machine learning to forecast future outcomes based on historical data. Reinforced Learning - answer-A type of machine learning where an agent learns to make decisions by receiving rewards or penalties for its actions. Robotics - answer-The design, construction, and use of robots to perform tasks traditionally done by humans, often enhanced with AI for autonomy