AI Digital Literacy

2. This term refers to the potential for AI to perpetuate or amplify existing biases in data.
6. This term describes the hypothetical scenario where AI surpasses human intelligence.
8. When an AI generates incorrect or misleading information.
10. This acronym refers to the ability of an AI system to understand and respond to human language in a meaningful way.
11. This type of machine learning involves training an AI model on labeled data.
13. This type of AI model uses interconnected nodes or neurons to process information and improve performance without being explicitly programmed.
14. This technique involves training an AI model to learn by trial and error.

1. This acronym refers to artificial intelligence that can perform a wide range of tasks at a human level.
3. This acronym stands for a type of model that uses two neural networks to generate realistic content.
4. This term refers to the ability of an AI model to generalize from its training data to new, unseen data.
5. This ethical concern involves the potential for AI to be used to create and spread false information.
7. This philosophical question explores the potential for AI to become conscious and have subjective experiences.
9. Computer systems/programs used to complete tasks that normally require human input, intelligence, and decision-making capabilities.
12. This type of AI focuses on specific tasks, like image recognition or language translation.