“The rise of artificial intelligence is both an opportunity and a challenge. The more we know, the better prepared we are to shape its impact.”

-Sundar Pichai

Check out our Intro to AI Gamma!

Introduction to Artificial Intelligence (AI) is designed to offer an overview of artificial intelligence for individuals without prior expertise in the subject. This Gamma provides a foundational introduction to the key concepts of AI, including machine learning and deep learning, and their broad applications across different industries.

A People’s Guide to AI

This is a comprehensive guide to understanding artificial intelligence (AI) and its implications in society. It covers the basics of AI, machine learning, algorithms, and their applications in everyday life.

A Generative AI Primer

As a short introduction to generative AI, this site explores some of the main points and areas relevant to education, including the implications of Generative AI on education and an introduction to Generative AI technology.

The Faculty Guide to Getting Started with Gen AI

This guide contains 20 activities and 9 lesson plans developed in collaboration by the University of Texas at Austin and Grammarly.

Prompt Engineering Workshop

This searchable collection of prompts is presented by the Texas Pioneer Foundation.

Bringing AI to Schools

Provides guidance for school leaders on integrating Artificial Intelligence (AI) into education, emphasizing the need for thoughtful implementation to enhance teaching and learning. It outlines the different types of AI, highlights essential strategies for educators, and addresses common concerns regarding AI’s role in the classroom, ultimately advocating for a proactive approach to prepare students for an AI-infused future.

AI Bytes

AI4ALL Open Learning offers free curriculum and teacher resources so that educators of any subject can increase access to AI education in their communities.

Critical AI Literacy

This curated and growing collection of resources comes from a plethora of sites across the internet. You’ll find resources dealing with topics of interest to the educatior as well as administrators and technical roles in education.

Unsupervised Learning

This blog presents a comprehensive primer on generative AI, particularly focusing on its implications for education, including its capabilities, limitations, and the challenges it poses for academic integrity and assessment practices. It aims to guide educators in understanding and adapting to the evolving landscape of AI tools, while also emphasizing the need for ongoing updates as the technology advances rapidly.

Harvard AI Code of Conduct

The proposed AI Code of Conduct for Harvard, developed by students in the Creativity course, emphasizes the need for course-specific policies regarding the use of generative AI tools in educational settings, rather than a blanket ban. It advocates for clear guidelines on permitted uses, regular policy reviews, and educational resources to promote academic honesty and responsible AI tool usage among students.

Syllabi Policies for AI

The “Syllabi Policies for AI Generative Tools” website provides a comprehensive resource for educators to share and explore various course policies regarding the use of AI tools like ChatGPT in academic settings. It encourages collaboration among instructors by allowing them to submit their guidelines, view a searchable database of existing policies, and offers resources for ethical AI usage while emphasizing the importance of academic integrity.

AI Literacy for Grades 6-12

The website offers a collection of quick, engaging lessons aimed at educating students in grades 6-12 about artificial intelligence (AI), its benefits, risks, and ethical considerations. These lessons are designed to foster critical thinking regarding AI’s role in society, helping students navigate its implications responsibly.

Artificial Intelligence and the Future of Teaching and Learning

The U.S. Department of Education (Department) is committed to supporting the use of technology to improve teaching and learning and to support innovation throughout educational systems. This report addresses the clear need for sharing knowledge and developing policies for “Artificial Intelligence,” a rapidly advancing class of foundational capabilities which are increasingly embedded in all types of educational technology systems and are also available to the public. We will consider “educational technology” (edtech) to include both (a) technologies specifically designed for educational use, as well as (b) general technologies that are widely used in educational settings. Recommendations in this report seek to engage teachers, educational leaders, policy makers, researchers, and educational technology innovators and providers as they work together on pressing policy issues that arise as Artificial Intelligence (AI) is used in education.

Machine Learning, explained

This pervasive and powerful form of artificial intelligence is changing every industry. Here’s what you need to know about the potential and limitations of machine learning and how it’s being used.

Daily Curriculum

The DAILy Workshop offers a comprehensive curriculum designed to educate students about artificial intelligence (AI), covering fundamental concepts, ethical implications, and its impact on future careers. Developed by MIT educators, the program includes hands-on activities and resources to prepare students for an AI-enabled world, emphasizing the importance of understanding both the benefits and potential harms of AI technologies.

Learn with AI

The “Learning With AI” toolkit provides resources, strategies, and events for educators to effectively integrate generative AI into the classroom, addressing both its potential benefits and ethical considerations. It encourages innovative pedagogy while offering practical activities and guidelines for navigating the challenges posed by AI technologies in education.

Citing AI (APA)

The American Psychological Association (APA) provides guidelines on how to cite ChatGPT and other AI-generated text in academic writing, emphasizing the importance of documenting the use of these tools in research. The page outlines specific citation formats and encourages users to critically evaluate AI-generated content, while also addressing ongoing debates regarding the ethical implications of using AI in academic work.

TRAILS

The NSF Institute for Trustworthy AI in Law & Society (TRAILS) is a collaborative initiative aimed at integrating diverse stakeholder participation in the development and governance of artificial intelligence systems to foster trust, ethics, and accountability. Funded by a $20 million grant, TRAILS focuses on creating inclusive AI solutions that prioritize human rights and empower marginalized communities while training the next generation of multidisciplinary talent.

AI Education Project

aiEDU provides resources and support for educators looking to integrate AI into their teaching, offering options for various levels of engagement, from quick overviews to in-depth projects. The platform features tools like AI Snapshots, an Intro to AI course, and a Project Dashboard to help educators effectively teach AI concepts to their students.

CRAFT

CRAFT is a continually growing collection of free adaptable AI Literacy resources for high school teachers, to help students explore, understand, and critique AI. Their website offers a variety of educational resources focused on the intersection of artificial intelligence (AI) and various societal issues, including ethics, bias, and conservation. It provides lesson plans that encourage critical thinking and discussions among students about the implications of AI in different contexts, such as warfare, music, and writing.

101 Creative Ideas

The #creativeHE website features a crowdsourced collection titled “101 Creative Ideas to Use AI in Education,” which explores innovative applications of AI to enhance learning, teaching, and assessment. The publication emphasizes the importance of responsible and ethical AI use in educational contexts and invites further exploration and collaboration from the global educational community.

AI: A Guide to Thinking Human

This substack is a blog about interesting developments in artificial intelligence. Written by Melanie Mitchell, Professor, Santa Fe Institute.

Citing AI (MLA)

The MLA Style Center provides guidelines on how to cite generative AI tools like ChatGPT in MLA style, emphasizing the need to cite the tool whenever its content is paraphrased, quoted, or used in any form. It outlines a flexible template for citation that includes elements like the title of the source, the AI tool’s name, version, publisher, and date, while also advising users to vet any secondary sources cited by the AI.

Generative AI exists because of the transformer

The article explores the impact of generative AI on various industries, highlighting its potential to revolutionize creativity, innovation, and productivity. It addresses both the opportunities, like efficiency gains and enhanced problem-solving, as well as challenges, including ethical concerns, job displacement, and the need for effective regulation. The piece emphasizes how businesses are rapidly adopting AI while society adjusts to its transformative effects.

AI Tools and Teaching

The University of Iowa’s guide discusses the use of AI tools in teaching, focusing on both the opportunities and challenges they present. It addresses concerns about academic integrity, guidelines for syllabus policies regarding AI use, and offers advice on incorporating AI into assignments. The guide emphasizes fostering transparency and student engagement while avoiding over-reliance on AI detectors due to their inaccuracies. It also provides strategies for designing authentic assessments that discourage misuse of AI.

Acknowledging AI

This Monash University website provides guidance on the responsible and ethical use of generative artificial intelligence (AI) in academic assessments, emphasizing the importance of acknowledging AI contributions and documenting their use. It outlines specific requirements for students, including how to cite AI tools, maintain academic integrity, and reflect on AI’s impact on their learning processes.