University of North Texas 
AI Resources Hub
AI for Teaching and Learning
Book
AI Ethics
AI Ethics by Mark Coeckelbergh (University of Vienna) is an accessible introduction to the complex ethical challenges
surrounding AI. The book grounds its discussions in philosophical debates, including
humanism vs. posthumanism and Enlightenment vs. Romanticism, encouraging readers to
reflect on how AI ethics also reveal deeper ethical questions about humanity itself.
While it predates the widespread use of large language models, AI Ethics remains a relevant primer.
AI Ethics is part of MIT Press' Essential Knowledge series, which includes other introductions to AI topics.
AI Ethics is part of MIT Press' Essential Knowledge series, which includes other introductions to AI topics.
Online Resource
Artificial Intelligence (AI) Policy Collection
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.
Developed and maintained by the UNT Libraries, this collection includes documents
published by Federal agencies, non-governmental organizations, international, state,
and local governments
AI for Teaching and Learning
Book
AI Ethics
AI Ethics by Mark Coeckelbergh (University of Vienna) is an accessible introduction to the complex ethical challenges
surrounding AI. The book grounds its discussions in philosophical debates, including
humanism vs. posthumanism and Enlightenment vs. Romanticism, encouraging readers to
reflect on how AI ethics also reveal deeper ethical questions about humanity itself.
While it predates the widespread use of large language models, AI Ethics remains a relevant primer.
AI Ethics is part of MIT Press' Essential Knowledge series, which includes other introductions to AI topics.
AI Ethics is part of MIT Press' Essential Knowledge series, which includes other introductions to AI topics.
Online Resource
Artificial Intelligence (AI) Policy Collection
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.
Developed and maintained by the UNT Libraries, this collection includes documents
published by Federal agencies, non-governmental organizations, international, state,
and local governments
AI Ethics and Policy
Online Resource
Artificial Intelligence (AI) Policy Collection
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.
Developed and maintained by the UNT Libraries, this collection includes documents
published by Federal agencies, non-governmental organizations, international, state,
and local governments
Book
AI Ethics
AI Ethics by Mark Coeckelbergh (University of Vienna) is an accessible introduction to the complex ethical challenges
surrounding AI. The book grounds its discussions in philosophical debates, including
humanism vs. posthumanism and Enlightenment vs. Romanticism, encouraging readers to
reflect on how AI ethics also reveal deeper ethical questions about humanity itself.
While it predates the widespread use of large language models, AI Ethics remains a relevant primer.
AI Ethics is part of MIT Press' Essential Knowledge series, which includes other introductions to AI topics.
AI Ethics is part of MIT Press' Essential Knowledge series, which includes other introductions to AI topics.
AI in Teaching and Research
Two crucial aspects of AI are its practical applications within the learning process
and its valuable contributions to education and research. The following resources
and articles explore how AI enhances education and research with data-driven insights,
predictive analytics, and efficient knowledge discovery. These examples collectively
underline how AI is reshaping education across various dimensions, offering a glimpse
into the promising future of AI-enabled learning and research.