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FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications
Sribala Vidyadhari Chinta, Zichong Wang, Zhipeng Yin, Nhat Hoang, Matthew Gonzalez, Tai Le Quy, Wenbin Zhang. (07/2024). arXiv. https://arxiv.org/abs/2407.18745
Exploring Generative AI Policies in Higher Education: A Comparative Perspective from China, Japan, Mongolia, and the USA
Qin Xie, Ming Li, Ariunaa Enkhtur. (07/2024). arXiv. https://arxiv.org/abs/2407.08986
Overreliance on AI: Literature Review
Samir Passi, Mihaela Vorvoreanu. (06/2024). Microsoft. https://www.microsoft.com/en-us/research/uploads/prod/2022/06/Aether-Overrelian…
Deciphering Stereotypes in Pre-Trained Language Models
Weicheng Ma, Henry Scheible, Brian Wang, Goutham Veeramachaneni, Pratim Chowdhary, Alan Sun, Andrew Koulogeorge, Lili Wang, Diyi Yang, Soroush Vosoughi. (12/2023). ACL Anthology. https://aclanthology.org/2023.emnlp-main.697/
Experimental evidence on the productivity effects of generative artificial intelligence
Shakked Noy, Whitney Zhang. (07/2023). Science. https://www.science.org/doi/10.1126/science.adh2586
Logic Against Bias: Textual Entailment Mitigates Stereotypical Sentence Reasoning
Hongyin Luo, James Glass. (03/2023). arXiv. https://arxiv.org/abs/2303.05670
