Experts' View on Challenges and Needs for Fairness in Artificial
Intelligence for Education

Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education

23 June 2022

Gianni Fenu

Mirko Marras

Papers citing "Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education"

5 / 5 papers shown

Title
Quantifying the Cross-sectoral Intersecting Discrepancies within Multiple Groups Using Latent Class Analysis Towards Fairness Yingfang Yuan Kefan Chen Mehdi Rizvi Lynne Baillie Wei Pang 17 0 0 24 May 2024
Bringing Generative AI to Adaptive Learning in Education Hang Li Tianlong Xu Chaoli Zhang Eason Chen Jing Liang Xing Fan Haoyang Li Jiliang Tang Qingsong Wen 48 20 0 02 Feb 2024
(Un)fair Exposure in Deep Face Rankings at a Distance Andrea Atzori Gianni Fenu Mirko Marras CVBM 36 1 0 22 Aug 2023
Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning Roberta Galici Tanja Kaser Gianni Fenu Mirko Marras 14 6 0 16 Dec 2022
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018