Across
- 4. additional information or data surrounding a prompt or query that helps the AI generate more accurate and relevant responses
- 5. ensuring an AI system's goals and outputs match human values, fairness, and safety
- 6. the likelihood that a specific outcome might occur
- 9. when an AI generates conflicting or opposing responses based on a similar input, making it impossible for both responses to be correct at the same time
- 10. model an AI system that can process information from multiple types of input
- 11. the process of focusing on only the essential details of a problem and ignoring everything else
- 13. the branch of philosophy that deals with what is morally right and wrong, and how decisions affect people and society
- 15. a general purpose form of AI that is trained on a very, very large body of knowledge
- 17. the legal right granted to the creator of an original work to use, distribute, and modify it
- 18. the structured or unstructured information, such as text, images, or code, used to train an AI model and shape its ability to recognize patterns and generate accurate responses
- 19. humans and AI working together, with humans providing creativity and direction, while AI assists by processing data, generating suggestions, or automating tasks
Down
- 1. the act of giving credit to the original creator of a work, especially in the context of using or referencing their material
- 2. a technology that mimics human intelligence, performing tasks such as understanding language, recognizing patterns, and making decisions
- 3. when the model makes up false or misleading information that sounds real but isn't true
- 7. the practice of openly disclosing how something works, especially in terms of decision-making, data use, or AI processes
- 8. a question, instruction, scenario, or statement provided by the user to guide the AI's response
- 12. when a model favors certain information over others
- 14. an interconnected network that makes decisions using weights and hidden layers. It is used to represent the relationship between words.
- 16. the process of teaching an AI model by exposing it to large amounts of data, allowing it to learn patterns, improve accuracy, and refine its predictions over time
