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Artificial Intelligence (AI)

Further Resources

What is AI: Reading

 IBM: What is Generative AI?: An IBM Article that explains what Generative AI is, along with a summary of its history, and what the future holds.

Adobe: Generative AI Vs. Other AI: An Adobe article that explains the different types of AI, how Generative AI fits into the industry, and Adobe's future concerning AI.

IBM Topics: Artificial Intelligence : Goes into detail on what AI is, including weak and strong AI; also shows current AI applications.

Coursera Articles: What is Artificial Intelligence?: Explains what Artificial Intelligence is, including courses on AI you can take through Coursera.

SAS Insights: Generative AI: Takes you through history, who uses it, how it's used, and future uses.

IBM Topics: Large Language Models: Explains what Large Language Models (LLMs) are, how they're developed, and current applications.

IBM Topics: Artificial Intelligence Types: Explains different kinds of Artificial Intelligence (AI)

Ars Technica: A Jargon Free Explanation of How AI Large Language Models Work: Explains how Large Language Models (LLMs) work; great explanation or non-tech savvy individuals.

Courses/Trainings

What is Generative AI? Tutorial from University of Arizona: A guided tutorial and video on Generative AI from the University of Arizona.

Elements of AI: A 3-part course on the basics of AI.

AI Pedagogy: Has an Interactive AI Guide for those getting started with using AI. A tutorial over using ChatGPT and a resources page (also linked in the "AI for Faculty" tab) is also featured.

Using AI

Generative AI FAQs from the University of Arizona: A list of FAQs the University of Arizona answers concerning AI. 

MIT Teaching and Learning Technoloigies: Writing Prompts Effectively: A guide from MIT on writing prompts effectively.

MIT Teaching and Learning Technoloigies: AI Basics: Has different sections on AI, including a glossary, tips on writing effective prompts, and ore.

Ethics

OpenAI: How your Data is Used to Improve Model Performance: Explains how the data you put in AI applications, like ChatGPT, is utilized.

OpenAI: How ChatGPT and Our Language Models are Developed: Explains how Language Models are developed, but also mentions data privacy.

OSUIT Data Literacy LibGuide: A good introduction and explanation of Data Literacy, including Data Privacy, from the Institutional Research (IR) office.

Challenges

University of Washington: Can AI help boost accessibility? These Researchers Tested it for Themselves: A team of individuals tested AI on its usefulness in accessibility.

MIT Teaching and Learning Technologies: Addressing AI Hallucinations and Bias: Explains how AI hallucinates references, and its internal bias.

 

Applications in Higher Ed

University of Arizona LibGuide: AI Literacy for Educators: Provides resources for educators in the realm of AI, such as detection tools (keep in mind these are new, so may produce false positives), and effective use.

MIT STS Teaching And Learning Technologies: Practical Strategies for Teaching with AI: Provides tips and resources for teaching with AI, including: starting the conversation about usage in your class, AI literacy, etc.

OpenAi: Teaching with AI: Provides ways AI is being used in the classroom, including sample prompts.

AI Pedagogy: Resources: Has an FAQ section with links to resources for each question, such as other universities' AI policies, getting started with AI, bias in Ai, and citation tips for students.

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions: An Ebook with resources on teaching AI in the classroom. Designed for faculty as well as Instructional Designers and Faculty, it also addresses the tensions and limitations with AI.

Unesco: ChatGPT and Artificial Intelligence in Higher Education Quick Start Guide: A PDF (also available to download below), that provides guidance on usage in institutions, applicability in the classroom, and recommendations on usage in higher education.

 

Challenges:

PLOS Digital Health: Addressing 6 challenges in generative AI for digital health: A scoping review: Talks about AI in the context of healthcare and medicine.

MIT STS Teaching and Learning Technologies: AI Detectors Don’t Work. Here’s What to Do Instead.: Explains why AI Detectors don't work, and solutions for designing policies and assignments.

AI Resources from Other Institutions

Tulsa Community College LibGuide: Generative AI