Get out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula
المؤلف | Javed, Rana Tallal |
المؤلف | Nasir, Osama |
المؤلف | Borit, Melania |
المؤلف | Vanhée, Loïs |
المؤلف | Zea, Elias |
المؤلف | Gupta, Shivam |
المؤلف | Vinuesa, Ricardo |
المؤلف | Qadir, Junaid |
تاريخ الإتاحة | 2023-07-13T05:40:51Z |
تاريخ النشر | 2022 |
اسم المنشور | Journal of Artificial Intelligence Research |
المصدر | Scopus |
الرقم المعياري الدولي للكتاب | 10769757 |
الملخص | The domain of Artificial Intelligence (AI) ethics is not new, with discussions going back at least 40 years. Teaching the principles and requirements of ethical AI to students is considered an essential part of this domain, with an increasing number of technical AI courses taught at several higher-education institutions around the globe including content related to ethics. By using Latent Dirichlet Allocation (LDA), a generative probabilistic topic model, this study uncovers topics in teaching ethics in AI courses and their trends related to where the courses are taught, by whom, and at what level of cognitive complexity and specificity according to Bloom's taxonomy. In this exploratory study based on unsupervised machine learning, we analyzed a total of 166 courses: 116 from North American universities, 11 from Asia, 36 from Europe, and 10 from other regions. Based on this analysis, we were able to synthesize a model of teaching approaches, which we call BAG (Build, Assess, and Govern), that combines specific cognitive levels, course content topics, and disciplines affiliated with the department(s) in charge of the course. We critically assess the implications of this teaching paradigm and provide suggestions about how to move away from these practices. We challenge teaching practitioners and program coordinators to reflect on their usual procedures so that they may expand their methodology beyond the confines of stereotypical thought and traditional biases regarding what disciplines should teach and how. 2022 AI Access Foundation. All rights reserved. |
راعي المشروع | LV acknowledges the support of the Knut and Alice Wallenberg Foundation (project number 570080103), of the project AutogrAIde "A Student-Driven Interdisciplinary Hackathon on Whether and How to Automate Grading & Assessment" (project number 570002260, The Rådet för Artificiell Intelligens, Umeå University, Sweden), and of the project "GEDAI: Growing Ethical Designers of Artificial Intelligence" at Umeå University, Sweden. MB acknowledges the support of the project AFO-JIGG "Service design thinking to improve welfare and product quality in the Norwegian small-scale fishing fleet" (project number 302635, Research Council of Norway) and of the CRAFT Lab - Knowledge Integration and Blue Futures, UiT The Arctic University of Norway. TJ and JQ acknowledge the support of the project "Culturally-informed pro-social AI regulation and persuasion framework for Pakistan and the Muslim world", funded by Facebook Research. SG acknowledges the support of the project "digitainable" funded by the German Federal Ministry for Education and Research (BMBF). RV acknowledges the financial support by Swedish Research Council (VR). |
اللغة | en |
الناشر | AI Access Foundation |
الموضوع | Artificial intelligence Curricula Education computing Statistics Teaching Artificial intelligence course Bloom taxonomies Cognitive complexity Ethics education Higher education institutions Latent Dirichlet allocation Modeling analyzes Probabilistic topic models Teaching ethics Topic Modeling Philosophical aspects |
النوع | Article |
الصفحات | 933-965 |
رقم المجلد | 73 |
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