Across
- 5. An issue in AI where models develop unfair or incorrect assumptions based on training data.
- 6. A test designed to measure a machine’s ability to exhibit intelligent behavior.
- 8. A set of rules or steps used to solve AI-related problems.
- 9. Large volumes of structured and unstructured data used to train AI models.
Down
- 1. The process of training computers to learn from data without explicit programming.
- 2. The AI field that enables machines to interpret and analyze images.
- 3. A machine learning model inspired by the structure of the human brain.
- 4. A type of learning where the model is trained with labelled data.
- 7. An AI program that interacts with users through text or voice.
- 10. A subset of AI that involves multiple layers of neural networks.