WGU D685 - PRACTICAL APPLICATIONS OF
PROMPT
1. The limitations of AI can be categorized into three main areas
Answer - fundamental limitations of AI
- practical limitations and challenges
- societal concerns and implications.
2. Fundamental limitations of AI include
Answer - dependence on training data
- limited common sense
- lack of emotional sense.
3. Practical limitations of AI include
Answer - perpetuating bias
- lack of ethics
- understanding nuances of language and humans.
,4. Societal concerns on AI include
Answer - data privacy
- safety
- security concerns
5. artificial intelligence (AI)
Answer the study of creating machines and computer systems capable of performing tasks that typically
require human intelligence
6. narrow AI
Answer artificial intelligence that is designed and trained for a specific task or narrow set of tasks
7. general AI
Answer a hypothetical future AI system that would possess human-level intelligence
8. algorithms
Answer defined methods or processes employed to train models, generate predictions, and execute tasks using
data
9. machine learning
,Answer a branch of AI that enables computers to improve their performance through experience without
needing explicit programming
10. AI model
Answer a computer program designed to make predictions or decisions based on input data
11. supervised learning
Answer a technique where a model is trained using data that includes labeled examples, such as images
with tagged objects or text with marked entities
12. unsupervised learning
Answer a type of machine learning where the model is trained on unlabeled data without explicit
guidance or supervision
13. reinforcement learning
Answer a type of machine learning wherein an AI agent learns through interactions with an
environment, garnering rewards or penalties contingent upon its actions
14. neural networks
Answer computational models inspired by the structure and function of the human brain's neural networks
, that learn from data called training to recognize patterns, make predictions, and perform tasks such as
classification, regression, and pattern recognition
PROMPT
1. The limitations of AI can be categorized into three main areas
Answer - fundamental limitations of AI
- practical limitations and challenges
- societal concerns and implications.
2. Fundamental limitations of AI include
Answer - dependence on training data
- limited common sense
- lack of emotional sense.
3. Practical limitations of AI include
Answer - perpetuating bias
- lack of ethics
- understanding nuances of language and humans.
,4. Societal concerns on AI include
Answer - data privacy
- safety
- security concerns
5. artificial intelligence (AI)
Answer the study of creating machines and computer systems capable of performing tasks that typically
require human intelligence
6. narrow AI
Answer artificial intelligence that is designed and trained for a specific task or narrow set of tasks
7. general AI
Answer a hypothetical future AI system that would possess human-level intelligence
8. algorithms
Answer defined methods or processes employed to train models, generate predictions, and execute tasks using
data
9. machine learning
,Answer a branch of AI that enables computers to improve their performance through experience without
needing explicit programming
10. AI model
Answer a computer program designed to make predictions or decisions based on input data
11. supervised learning
Answer a technique where a model is trained using data that includes labeled examples, such as images
with tagged objects or text with marked entities
12. unsupervised learning
Answer a type of machine learning where the model is trained on unlabeled data without explicit
guidance or supervision
13. reinforcement learning
Answer a type of machine learning wherein an AI agent learns through interactions with an
environment, garnering rewards or penalties contingent upon its actions
14. neural networks
Answer computational models inspired by the structure and function of the human brain's neural networks
, that learn from data called training to recognize patterns, make predictions, and perform tasks such as
classification, regression, and pattern recognition
