Multifaceted Assessment of Responsible Use and Bias in Language Models for Education
Large language models (LLMs) are increasingly being utilized to develop tools and services in various domains, including education. However, due to the nature of the training data, these models are susceptible to inherent social or cognitive biases, which can influence their outputs. Furthermore, th...
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| Main Authors: | Ishrat Ahmed, Wenxing Liu, Rod D. Roscoe, Elizabeth Reilley, Danielle S. McNamara |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Computers |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-431X/14/3/100 |
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