Welcome to The AI Challenge, a self-paced Design Forward module created to build faculty capacity with generative artificial intelligence (GENAI). In each topic page you will find related resources, questions, and activities.

Since this is a self-paced module, you should proceed in whatever way makes you comfortable. Feel free to take as little or as much time as necessary and focus on whatever components resonate most deeply with you and your own pedagogical value and needs.

We look forward to seeing you around the module!

This activity explores what it means for a computer to be intelligent and introduces the topic of what a computer program is and how everything computers do simply involves following instructions written by (creative) computer programmers. Learners interact with a piece of paper that contains rules for playing a perfect game of noughts-and-crosses (tic-tac-toe). The activity contains some thought provoking (and humorous) discussion questions. Explanation, variations, extensions, and resources are included in the PDF.

Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all been surprised by ChatGPT and similar Large Language Models. Generative AI is an important new area for librarianship. It is also developing so rapidly that no one can really keep up. Those trying to produce AI courses for the MLIS degree need all the help they can get. This book is a gesture of support. It consists of about 95,000 words on the topic, with a 3-400 item bibliography.

This resource presents the standards for Computer Science in one folder on Google Drive. Teachers can access the computer science standards as an Adobe Acrobat PDF.

Digital Scholarship and Data Science Essentials for Library Professionals is an open and collaboratively curated training reference resource. It aims to make it easier for LIBER library professionals to gain a concise overview of the new technologies that underpin digital scholarship and data science practice in research libraries today, and find trusted training materials recommendations to start their professional learning journey.

This article provides an overview of interactive whiteboard technology and ideas for incorporating one into the classroom.

What apps do you use, how often do you use them, and why? This resource was created as a criterion for a professional development activity where the author created an app using the Code.org platform. The app focus is on the Red Tailed Boa as an invasive species in the U.S. Virgin Islands. That app can be viewed here or via the following link link: https://studio.code.org/projects/applab/ffbcpEOiEX-f0qZevO31O3sIQ-RxEQBG8esxHkfVbIs. Feel free to modify and/or use this lesson resource as a foundation for profesional development and growth and/or as an instructional within your classrooms. It can be used by instructors to introduce students to the exciting world of app development, specifically the development of apps using the app lab on Code.org. The lesson was designed to target students at the 9th - 12th grade levels for a duration of 5 to 8 hours, split into multiple session if needed. The duration can and should be adapted based on the needs of the students. Thank you for your interest. Have fun!

Everyone will be impacted by AI in daily life and in the workplaces of the future. It is critical for all students to have fundamental knowledge of AI and to understand AI’s potential for good and harm. The Daily-AI program will jumpstart your readiness for AI and give you the tools you need to prepare for the AI-enabled world.

The Daily-AI workshop, designed by MIT educators and experienced facilitators, features hands-on and computer-based activities on AI concepts, ethical issues in AI, creative expression using AI, and how AI relates to your future. You will experience training and using machine learning to make predictions, investigate bias in machine learning applications, use generative adversarial networks to create novel works of art, and learn to recognize the AI you interact with daily and in the world around you.

This curriculum is currently being piloted through NSF EAGER Grant 2022502. This is a joint venture between the Personal Robots Group at the MIT Media Lab, MIT STEP Lab, and Boston College.

Contents:
Unit 0: What is AI?
- What is AI
- Algorithms as Opinions
- Ethical Matrix
- Decision Trees
- Investigating Bias
Unit 1: Supervised Machine Learning
- Introduction to Supervised Machine Learning
- Neural Networks
- Classifying AI vs. Generating AI
Unit 2: GANs
- What are GANs?
- Generator vs. Discriminator
- Unanticipated Consequences of Technology
- AI Generated Art
- What are Deepfakes?
- Spread of Misinformation
- Generate a Story
Unit 3: AI + My Future
- Environmental Impact of AI
- Redesign YouTube
- Careers in AI

Career videos show the types of work in which individuals employed in a career field, cluster or pathway are engaged. Nebraska Career Education, in cooperation with the Nebraska Departments of Labor and Economic Development, offers an array of virtual career tours of Nebraska-based businesses and industries. Discussion guides for the teacher and viewing guides for students have been developed for each career tour. These virtual industry tours provide a unique opportunity to get a glimpse inside Nebraska-based industries without leaving the classroom. Interviews, tours of the business environment and “pop-up” information and statistics on job markets, salaries, and educational requirements are part of each career cluster’s videos.

This activity aims to stimulate discussion on the question of whether computers can exhibit Ňintelligence" or are ever likely to do so in the future. Learners play a game and try to distinguish between a human and a computer by asking questions and analyzing the answers. This game is similar to the Turing Test, founded by British mathematician Alan Turing. Variations, extensions, background information and further reading suggestions are included in the PDF.