MIT researcher Deb Roy wanted to understand how his infant son learned language -- so he wired up his house with videocameras to catch every moment (with exceptions) of his son's life, then parsed 90,000 hours of home video to watch "gaaaa" slowly turn into "water." Astonishing, data-rich research with deep implications for how we learn. Deb Roy studies how children learn language, and designs machines that learn to communicate in human-like ways. On sabbatical from MIT Media Lab, he's working with the AI company Bluefin Labs. A quiz, thought provoking question, and links for further study are provided to create a lesson around the 20-minute video. Educators may use the platform to easily "Flip" or create their own lesson for use with their students of any age or level.

This overview by CoSN delves into the facts and myths of AI:
"If you've had time to pay attention, you may have picked up on the noise happening in K-12
circles around ChatGPT and the myriad of other AI web tools that suddenly are in the spotlight.
Why all the noise and how do EdTech minded administrators respond?"

This lesson centers around the How AI Works: Chatbots and Large Language Models video from the How AI Works video series. Watch this video first before exploring the lesson plan.

Large Language Models (LLMs) generate new text. The text LLMs generate looks like a human might have written it because large language models are built based on large bodies of text, such as Wikipedia. In this lesson, students learn what an LLM is and how it works, then use an LLM to co-create a text with AI. Finally, the class wraps up with a discussion about whether or not LLMs are intelligent or creative.

This lesson can be taught on its own, or as part of a 7-lesson sequence on How AI Works. Duration: 45 minutes

This lesson centers around the How AI Works: Computer Vision video from the How AI Works video series. Watch this video first before exploring the lesson plan.

Students learn how computer vision works. They first look at optical illusions to identify the features of the drawing that their eyes noticed. Students watch a video explaining computer vision and how a computer "sees". They design an algorithm that uses a network to decide what number the seven segment display is displaying. Finally, students test their algorithm.

This lesson can be taught on its own, or as part of a 7-lesson sequence on How AI Works. Duration: 45 minutes

These are a set of fictional case studies that are designed to prompt reflection and discussion about issues at the intersection of AI and Ethics. These case studies were developed out of an interdisciplinary workshop series at Princeton University that began in 2017-18. They are the product of a research collaboration between the University Center for Human Values (UCHV) and the Center for Information Technology Policy (CITP) at Princeton. Click the title of each case study to download the full document.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Artificial Intelligence and blockchain technologies are revolutionizing how various industries work, including the accounting industry. As the tools of the trade grow smarter, what will the future landscape of accounting look like? And where will accounting grads find a place in it? Researchers address these and other questions in a recent review published in the journal IEEE Access. AI and blockchain technologies are already having a big impact on how accounting firms run. Deloitte has created a voice analysis tool that monitors customer interactions and identifies high-risk interactions through natural language processing. PricewaterhouseCoopers has an entire AI audit lab designed to improve audit quality and operational efficiency, and Ernst & Young has developed Blockchain Analyzer, which enables in-depth reviews of cryptocurrecy transactions. Accounting students are recommended to hone their programming skills and stay abreast of emerging technologies to thrive in this fast-changing environment..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

It is a wonderful speaking activity for english learners . The lesson plan has materials that you need while having the lesson. It aims to arouse students' curiosity about technology and artificial intelligence. 

15. Brave New World: Ethical Considerations and Risks

The trifecta of globalization, urbanization and digitization have created new opportunities and challenges across our nation, cities, boroughs and urban centers. Cities in particular are in a unique position at the center of commerce and technology becoming hubs for innovation and practical application of emerging technology. In this rapidly changing 24/7 digitized world, governments are leveraging innovation and technology to become more effective, efficient, transparent and to be able to better plan for and anticipate the needs of its citizens, businesses and community organizations. This class will provide the framework for how cities and communities can become smarter and more accessible with technology and more connected.

This video delves into the Ethics of AI in Education, catering specifically to students. Its purpose is to assist students in cultivating their own ethical standpoint concerning AI, drawing from pertinent information and factual insights into the realm of artificial intelligence. The content explores professional, educational, and personal perspectives, shedding light on both the pitfalls and benefits inherent in discussions about AI. This resource is designed to be utilized as a tool for initiating conversations among students before the commencement of a course. It serves to familiarize them with the landscape of policies surrounding AI within their courses or institutions.

Current formats provided include:
Youtube video
H5P Interactive Video (Includes bookmarks and a reflective question to answer.)

Preview and use this content:
Youtube video: https://youtu.be/ZVUaOfHqGck
H5P Module: https://h5p.org/node/1460884

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Congenital heart defects affect approximately 1% of all babies born each year and account for almost 20% of all newborn deaths. Early diagnosis while still in the womb can greatly improve an affected baby’s chance of survival. Unfortunately, diagnosis relies exclusively on ultrasound imaging, where accurate readings aren’t guaranteed. Researchers in Japan are tackling this problem by enlisting the help of artificial intelligence. More importantly, they’re helping the doctors entrusted with patient care to understand how AI programs spot heart defects. Advancements in artificial intelligence have improved how congenital heart defects are diagnosed. Ultrasound videos of fetal hearts beating normally and others with structural defects can be studied with AI, which can then determine whether the fetal hearts in new videos are abnormal or not..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

Asking the question, “What is human-computer interaction - artificial intelligence? Students come to understand what artificial intelligence is in most everyday life, discussing the privacy, pros and cons of this topic and exploring with artificial intelligence activities online. This lesson plan includes using the Google Vision Kit to explore various pre-loaded facial recognition programs and advance programming students can access the Python code, manipulate the code and test the changes.

This talk explores the intersection of generative AI and Open Educational Resources (OER), examining both the exciting opportunities and the inherent challenges. Generative AI offers the potential to revolutionize OER creation, adaptation, and delivery. It can assist with drafting, translation, improved accessibility, and can facilitate personalized learning experiences. However, critical issues such as access disparities, content quality concerns, amplified biases, copyright complexities, and data privacy must also be addressed. The talk calls for responsible and transparent use of AI, encouraging educators to experiment, stay informed, and prioritize an ethical approach in deploying AI tools to enhance open education.

(note: the above description was generated by pasting the video's automatically-generated captions into Google's chatbot Gemini using the Advanced model on 4/26/2024)

Presented by D’Arcy Hutchings, Instructional Design and Open Education Librarian, University of Alaska Anchorage

This lesson centers around the How AI Works: Creativity and Imagination? video from the How AI Works video series. Watch this video first before exploring the lesson plan.

Diffusion models generate images. Diffusion AI converts an image to noise, and trains an AI to reverse the process. In this lesson, students learn how AI can generate images, then explore a diffusion AI widget. Finally, the class wraps up with a discussion about whether or not these models are creative.

This lesson can be taught on its own, or as part of a 7-lesson sequence on How AI Works. Duration: 45 minutes

A module for the course: CS 59974: Special Topics in Artificial Intelligence - "Machine Learning in Action". Delivered at the City College of New York in Spring 2020 by Hunter McNichols as part of the Tech-in-Residence Corps program.

A module for the course: CS 59974: Special Topics in Artificial Intelligence - "Setting up Jupyter Notebooks". Delivered at the City College of New York in Spring 2020 by Hunter McNichols as part of the Tech-in-Residence Corps program.

The projects in this guide use a student-driven approach to learning. Instead of simply learning about AI through videos or lectures, the students completing these projects are active participants in their AI exploration. In the process, students work directly with innovative AI technologies, participate in “unplugged” activities that further their understanding of how AI technologies work, and create various authentic products—from machine learning models to video games—to demonstrate their learning.

Project 1: Programming with Machine Learning
Project 2: AI-Powered Players in Video Games
Project 3: Using AI for Robotic Motion Planning
Project 4: Machine Learning as a Service

Visit the ISTE website with all the free practical guides for engaging students in AI creation: https://www.iste.org/areas-of-focus/AI-in-education

This guide provides student-driven projects that can directly teach subject area standards in tandem with foundational understandings of what AI is, how it works, and how it impacts society.

Instead of simply learning about AI through videos or lectures, the students completing these projects are active participants in their AI exploration. In the process, students work directly with innovative AI technologies, participate in “unplugged” activities that further their understanding of how AI technologies work, and create various authentic products—from presentations to designing an AI robot—to demonstrate their learning.
• Project 1: What AI Does Well and Does Not Do Well
• Project 2: Training Data and Machine Learning
• Project 3: Senses vs. Sensors
• Project 4: Navigation and AI

Visit the ISTE website with all the free practical guides for engaging students in AI creation: https://www.iste.org/areas-of-focus/AI-in-education

This guide provides student-driven projects that can directly teach subject area standards in tandem with foundational understandings of what AI is, how it works, and how it impacts society. Several key approaches were taken into consideration in the design of these projects. Understanding these approaches will support both your understanding and implementation of the projects in this guide, as well as your own work to design further activities that integrate AI education into your curriculum.

Project 1: AI Chatbots
Project 2: Developing a Critical Eye
Project 3: Using AI to Solve Environmental Problems
Project 4: Laws for AI

Visit the ISTE website with all the free practical guides for engaging students in AI creation: https://www.iste.org/areas-of-focus/AI-in-education

In this guide, students’ exploration of AI is framed within the context of ethical considerations and aligned with standards and concepts, and depths of understanding that would be appropriate across various subject areas and grade levels in K–12. Depending on the level of your students and the amount of time you have available, you might complete an entire project, pick and choose from the listed activities, or you might take students’ learning further by taking advantage of the additional extensions and resources provided for you. For students with no previous experience with AI education, exposure to the guided learning activities alone will create an understanding of their world that they likely did not previously have. And for those with some background in computer science or AI, the complete projects and resources will still challenge their thinking and expose them to new AI technologies and applications across various fields of study.

Project 1: Fair's Fair
Project 2: Who is in Control?
Project 3: The Trade-offs of AI Technology
Project 4: AI and the 21st Century Worker

Visit the ISTE website with all the free practical guides for engaging students in AI creation: https://www.iste.org/areas-of-focus/AI-in-education.

How does Artificial Intelligence impact Diversity?Explore what Artificial Intelligence in your own words and pictures.Español¿Cómo impacta la inteligencia artificial en la diversidad?Explore qué Inteligencia Artificial en sus propias palabras e imágenes.