Question

11 matching 2.5 points
match each definition with the word it defines.
when the model makes up false or misleading information that sounds real but isnt true
occurs when a model favors certain information over others
the process of teaching an al model by exposing it to large amounts of data, allowing it to learn patterns, improve accuracy, and refine its predictions over time.
when humans and al work together, with humans providing creativity and direction, while al assists by processing data, generating suggestions, or automating tasks
ensuring an al systems goals and outputs match human values, fairness, and safety

Explanation:

• "When the model makes up false or misleading information that sounds real but isn't true" is the definition of hallucination in the context of AI.
• "Occurs when a model favors certain information over others" is the concept of AI bias.
• "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" is training.
• "When humans and AI work together, with humans providing creativity and direction, while AI assists by processing data, generating suggestions, or automating tasks" describes co - creating.
• "Ensuring an AI system's goals and outputs match human values, fairness, and safety" is alignment.

Answer:

• "when the model makes up false or misleading information that sounds real but isn't true" → hallucination
• "occurs when a model favors certain information over others" → AI bias
• "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" → training
• "when humans and AI work together, with humans providing creativity and direction, while AI assists by processing data, generating suggestions, or automating tasks" → co - creating
• "ensuring an AI system's goals and outputs match human values, fairness, and safety" → alignment