WGU C954 V8 Ch 12 Exam Question with Complete Solution 2026 | 100% Guaranteed Pass

WGU C954 V8 Ch 12 Exam Question with Complete Solution 2026 | 100% Guaranteed Pass Artificial intelligence (AI) - answer-The ability to mimic or duplicate the functions of the human brain. What does artificial intelligence (AI) simulate? - answer-Human intelligence processes What are the three key processes involved in artificial intelligence? - answer-Learning, reasoning, and self-correction What is involved in the learning process of AI? - answer-The acquisition of information and rules for using the information What does reasoning in AI refer to? - answer-Using rules to reach conclusions What is self-correction in AI? - answer-Using the outcome from one scenario to improve performance on future scenarios What components are needed to develop an AI system? - answer-People, procedures, hardware, software, data, and knowledge What is artificial narrow intelligence (ANI) also known as? - answer-Weak AI What type of tasks does artificial narrow intelligence (ANI) excel at? - answer-Specific, welldefined tasksWhat type of data is artificial narrow intelligence (ANI) typically trained on? - answer-Large datasets of labeled data What is an artificial neural network? - answer-A computer system that can recognize and act on patterns or trends in large sets of data. What was the purpose of developing artificial neural networks? - answer-To operate like the human brain. automation - answer-The application of technology, programs, robotics, or processes to achieve outcomes with minimal human input. What does BCI stand for? - answer-Brain-Computer Interface What does a brain-computer interface interact with? - answer-A human's neural structure (brain) What does a brain-computer interface translate? - answer-Information (thoughts) into activities (actions) What is a co-pilot? - answer-An intelligent system designed to work alongside humans. What is the purpose of a co-pilot? - answer-To enhance efficiency, safety, and decision making. computer vision - answer-A technology that enables computers to interpret and understand visual information from the real world. What is deep learning? - answer-A form of machine learning.What does deep learning allow programs to do? - answer-Grow and learn from examples provided by users. What types of examples can users provide in deep learning? - answer-Typed or spoken. What is edge AI? - answer-A form of artificial intelligence that processes data at the source. Where does edge AI process data? - answer-On devices at the network's edge. explainable AI (XAI) - answer-Research focusing on developing methods for understanding how AI models arrive at their outputs in order to find and correct potential biases and improve trust in the systems and the models they produce. What is generative AI? - answer-Artificial intelligence systems capable of creating new data. What types of data can generative AI create? - answer-Images, text, or audio. What techniques are often used in generative AI? - answer-Deep learning and probabilistic modeling. What does generative AI aim to mimic? - answer-Human-generated content. What is natural language processing (NLP)? - answer-A field of artificial intelligence that enables computers to understand and manipulate human language. What does natural language processing (NLP) allow computers to do? - answer-Understand, analyze, manipulate, and generate natural ctive modeling - answer-A statistical technique that aims to predict future events or outcomes by analyzing relevant historical data. What is reinforced learning? - answer-Machine learning using trial and error on an unlabeled data set. How is learning gained in reinforced learning? - answer-Through positive and negative feedback. What fields are combined in robotics? - answer-Mechanical engineering, computer science, AI, and machine learning. What is the purpose of robotics? - answer-To create a device that can perform tasks with a high degree of precision. What is supervised learning? - answer-A type of machine learning using a labeled data set. What does supervised learning use to produce output? - answer-Examples from a labeled data set. How is the output in supervised learning evaluated? - answer-It is compared to a predefined correct output. What is unsupervised learning? - answer-Machine learning using an unlabeled data set and no examples.