Final answer:
Confirmation bias emerges when the same data is sampled over and over again, limiting a model's perspective and leading to a focus on information that confirms existing beliefs.
Step-by-step explanation:
The type of bias that emerges when the same data is sampled over and over again, limiting a model's perspective, is confirmation bias. Confirmation bias is the tendency to focus on information that confirms existing beliefs and ignore information that contradicts them. For example, if a model only looks at data that supports a particular hypothesis and ignores data that disproves it, it is exhibiting confirmation bias.