Public Health: AI Resources

Links to nine popular & useful AI research tolls, complied by Georgetown University librarians.

An introductory citation guide for AI created by librarians at the University of Waterloo.

Free three course series created by Dr. Jules White, Director of Vanderbilt’s Initiative on the Future of Learning & Generative AI. Suitable for beginners.

A free site to help you find the best AI tools and software. Easy to search & clear categories.

Lists GAI products geared towards postsecondary faculty or students for teaching, learning, or research activities. The Tracker is a living document, updated regularly by Ithaka S+R.

Huggyface aims to track, rank and evaluate open LLMs and chatbots. Ability to submit models for automated evaluations.

MockGPT is a WireMock-powered mock module used to simulate OpenAI APIs such as ChatGPT and GPT-3.

Explore resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's developer platform. Robust prompt engineering section. OpenAI owns ChatGPT.

Part 1 of a 5 part video training series created by the Wharton School.

Contains links to scholarly & popular articles examining AI through the DEI lens. Created by the publishing unit of ACRL.

General advice and pedagogical practices regarding AI for faculty.

Advice for faculty in adapting courses, using ChatGPT to teach and ethical/privacy concerns to consider.

Offers instructors a brief introduction to Artificial Intelligence Tools, specifically ChatGPT, along with several strategies for navigating or engaging with these tools in courses.

Access slides & recordings for the three part fall 2023 AI webinars here. Find news about sessions scheduled for spring 2024 under "upcoming events" tab.

UNESCO's first publication on global guidance for AI in education.

A resource guide including links for further reading regarding ChatGPT, academic integrity and pedagogy.

Recording of a September 2023 event featuring public health, education, computer science & strategic studies professors.

Open source book by Dr. Sean Davis of the Center for Health AI at U of Colorado School of Medicine. Addresses AI in the classroom, policies & guidelines, bias & ethics, & includes a list of further resources.

Generative AI resources including an overview, pedagogical responses to AI, syllabus statements, detecting use of AI & additional higher ed resources.

University College London resource bringing together latest information, resources & guidance on using AI in education.

The latest from CUNY's University Faculty Senate regarding AI policy.

Curated page from the Michigan Institute for Data Science serving researchers looking to integrate Generative AI into their work. Contains an AI overview, links to various models, scholarly papers & online resources.

Substack blog from Lance Eaton, a writer, educator, instructional designer, educational and social media consultant.

This frequently updated site focuses on pedagogical approaches. It contains links to Baruch's AI Whitepaper. access to slides from various webinars and resources recommended by Center staff.

Nicole Henning is independent user experience professional, helping librarians & educators stay current with new technologies.

Three-part blog post from MIT's Teaching + Learning Lab. Includes links to scholarly & popular articles.

Prof. Ethan Mollick of the Wharton School of Business's blog tackles trying to understand the implications of AI for work, education & life.

An initiative by academics for academics to navigate the uncharted waters of the era of AI. Substack of The Sentient Syllabus Project.

Newsletter of Jeremy Caplan, the Director of Teaching & Learning at CUNY's Graduate School of Journalism. Wonder Tools contains resources & sites for productivity & creativity, heavily geared towards AI tools.

The Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center is supported by the NIH and serves as the AI Center for the NIH’s Nutrition for Precision Health (NPH) Consortium.

Includes links to NIH activities and research involving AI.

Recording of ASTHO's September 12, 2023 webinar.

This panel discussion brings together experts in computational biology, medical informatics and natural language processing to discuss privacy concerns, liability and trust.

Overview of CDC's use of AI & Machine Learning in the public health field.

Department of the Robert Koch Institut in Germany.

Information about current Teamcore public health projects. Includes links to related scholarly articles.

World Health Organization publication (Oct. 2023) listing key regulatory considerations on artificial intelligence for health.

The AI Institute focuses on four grand challenges (health care, infrastructure, education, and finance) and five foundational research areas (automated and scalable knowledge acquisition, predictive intelligence, explainable AI, trustworthy AI, and ethical AI).