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The UNT AI Resource Hub is a curated collection of resources designed to equip the UNT community with the knowledge, skills, and tools needed to navigate the dynamic world of AI in higher education. Along with this subject guide, resources include books, newsletters, online trainings, and more, chosen for their long-term relevance and diverse perspectives, from enthusiasm to skepticism about AI's impact on higher education and beyond.
The Artificial Intelligence (AI) Policy Collection contains open access resources that provide policy overviews, implementation plans, guiding frameworks, and resources for implementing artificial intelligence and machine learning in a wide range of environments. This collection includes documents published by Federal agencies, non-governmental organizations, international, state, and local governments.
The goal of the collection is to identify, collect, organize, and maintain digital resources relevant to artificial intelligence and machine learning and its intersection with public policy and practice.
Overwhelmed with artificial intelligence? Not sure how to use AI ethically or legally? Hoping to learn more about specific AI tools to help you with your coursework or research?
This guide aims to help you understand some of the challenges that AI presents, offer resources to learn more about these issues and tools, and show where to turn for additional guidance and support.
Copyright © University of North Texas. Some rights reserved. Except where otherwise indicated, the content of this library guide is made available under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. Suggested citation for citing this guide when adapting it:
This work is a derivative of "Artificial Intelligence", created by [author name if apparent] and © University of North Texas, used under CC BY-NC 4.0 International.