Question

AI, Machine Learning, and IT Careers Unit Test 16 of 2016 of 20 Items Question Briefly explain the concepts of literal thinking and abstract thinking as each relates to artificial intelligence and machine learning. Explain your answer in 3-5 sentences.(4 points) Short Answer Rubric (4 points) Points Awarded Criteria 4 The answer is very clear. The answer is fully supported by details. There may be a few errors in grammar, usage, or mechanics. Errors do not interfere with meaning. 3 The answer is mostly clear. The answer is supported by mostly relevant details. There are a few errors in grammar, usage, or mechanics. Errors do not interfere with meaning. 2 The answer is somewhat clear. Details are weak or not related. There are some errors in grammar, usage, and mechanics. Errors interfere with meaning. 1 The answer is not clear. There are few or no supporting details. There are many errors in grammar, usage, and mechanics. Errors interfere with meaning. 0 The question is not answered. Skip to navigation page 1 of 1

Answer 1

Literal thinking in the context of artificial intelligence (AI) and machine learning refers to the processing of concrete, straightforward data and information. AI systems that exhibit literal thinking often interpret data at face value, relying heavily on specific rules and patterns without making inferences or anticipating broader implications. On the other hand, abstract thinking involves interpreting data and concepts at a more conceptual level, allowing AI and machine learning algorithms to recognize patterns, draw generalizations, and apply learned knowledge to new and varied situations. This capability is essential in developing more sophisticated AI systems that can adapt and make decisions in complex, unpredictable environments.