This is the bibliography for a presentation (that may be turned into a short paper). It is on AI and Ethics focused on diversity, equity, and inclusion. I am particularly interested in how “intelligence” is defined culturally and how that introduces its own kind of bias. If you have some article that would fit or needs to be included, let me know in a comment:
Abdilah, Angie et al. (2021). Out of the Black Box: Indigenous Protocols for AI. Old Ways, New. https://static1.squarespace.com/static/5778a8e3e58c62bbf1a639ae/t/61808f1d034eda41
942223a9/1635815199890/*Final+Unesco+Paper_Designed.pdf
Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations. (2023). U.S. Department of Education, Office of Educational Technology. https://tech.ed.gov/ai-future-of-teaching-and-learning/
Beijing Consensus on Artificial Intelligence and Education. (2019). UNESCO. UNESDOC. https://unesdoc.unesco.org/ark:/48223/pf0000368303
Bender, Emily M. (2021) On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? FAccT ’21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. https://doi.org/10.1145/3442188.3445922
Beskows, O. et al. (2023): Hacking Innovative Pedagogy: Innovation and Digitisation to Rewild Higher Education. A Commented Atlas. University of Graz. https://unipub.uni-graz.at/obvugrveroeff/content/titleinfo/8667140
Bozkurt, Aras. (2024). Why Generative AI Literacy, Why Now and Why it Matters in the Educational Landscape? Kings, Queens and GenAI Dragons. Open Praxis. https://openpraxis.org/articles/10.55982/openpraxis.16.3.739
Foltynek, T.,et al. (2023) ENAI Recommendations on the ethical use of Artificial Intelligence in Education. International Journal for Educational Integrity 19, 12 . https://doi.org/10.1007/s40979-023-00133-4
Interim Guidelines for Purposeful and Responsible Use of Generative Artificial Intelligence. (2023). WaTech. Washington Technology Solutions. https://watech.wa.gov/sites/default/files/2024-03/State%20Agency%20Generative%20AI%20Guidelines%208-7-23%20.pdf
Macgilchrist, F. (2021). Rewilding Technology. On Education. Journal for Research and Debate, 4(12). https://www.oneducation.net/no-12_december-2021/rewilding-technology/
Mitchell, Jess, et al. (2024) Framework for Accessible and Equitable Artificial Intelligence (AI) in Education. Inclusive Design Research Center. Ontario, CA. https://idrc.ocadu.ca/projects/ai-in-education/
Pinyonatthagarn, D., & Kotsupho, P. (2022). Buddhist Wisdom and Artificial Intelligence. Buddhism and Social Responsibility in the New Normal (BUSRIN) (Lanna Journal of Buddhist Studies and Cultures), 3(1). https://www.firstojs.com/index.php/LJBSC/article/view/1020
Recommendation on the Ethics of Artificial Intelligence. (2022). UNESCO. UNESDOC. https://unesdoc.unesco.org/ark:/48223/pf0000381137
Responsible AI & Tech Justice: A Guide for K-12 Education. (2024). Kapor Foundation. https://kaporfoundation.org/wp-content/uploads/2024/01/Responsible-AI-Guide-Kapor-Foundation.pdf
Sangma, Nina. (2024). Artificial Intelligence and Indigenous Peoples’ Realities. Cultural Survival. https://www.culturalsurvival.org/publications/cultural-survival-quarterly/artificial-intelligence-and-indigenous-peoples-realities
Smith, Genivieve and Rustagi, Ishita. (2020) Mitigating Bias in Artificial Intelligence: An Equity Fluent Leadership Playbook. Berkeley Haas Center for Equity, Gender and Leadership. https://haas.berkeley.edu/wp-content/uploads/UCB_Playbook_R10_V2_spreads2.pdf
Tsui, Quito. (2023) Dethroning the All-powerful AI: Developing Ethics for a Demystified AI. BotPopuli. https://botpopuli.net/dethroning-the-all-powerful-ai-developing-ethics-for-a-demystified-ai/
Recommendation on the Ethics of Artificial Intelligence. (2022). UNESCO. UNESDOC. https://unesdoc.unesco.org/ark:/48223/pf0000381137
