Artificial Intelligence: Ethics

Hands-On AI Projects for the Classroom: A Guide on Ethics and AI

(View Complete Item Description)

ISTE and GM have partnered to create Hands-On AI Projects for the Classroom guides to provide educators with a variety of activities to teach students about AI across various grade levels and subject areas. Each guide includes background information for teachers and student-driven project ideas that relate to subject-area standards. The hands-on activities in the guides range from “unplugged” projects to explore the basic concepts of how AI works to creating chatbots and simple video games with AI, allowing students to work directly with innovative AI technologies and demonstrate their learning. 

Material Type: Reading

Author: Rebecca Henderson

Ethics of AI in Education For Students

(View Complete Item Description)

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

Material Type: Interactive

Author: Skye Nguyen

Hands-On AI Projects for the Classroom: A Guide on Ethics and AI

(View Complete Item Description)

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.

Material Type: Lesson, Lesson Plan, Module, Unit of Study

Authors: General Motors, International Society for Technology in Education (ISTE)

What if? Ethics cases using various philosophies for decision-making

(View Complete Item Description)

This OER is a collection of case studies for discussions on ethical decision-making. It uses Communitarian and other philosophies to determine how and if outcomes might have been different uses alternatives to Utilitarianism. Cases cover recent issues in public relations, journalism, video games, social media, influencers, advertising, artificial intelligence, reality TV, and luxury brands.

Material Type: Case Study, Textbook

Author: Sarah Maben

Social and Ethical Responsibilities of Computing (SERC)

(View Complete Item Description)

Social and Ethical Responsibilities of Computing (SERC), a cross-cutting initiative of the MIT Schwarzman College of Computing, works to train students and facilitate research to assess the broad challenges and opportunities associated with computing, and improve design, policy, implementation, and impacts. This site is a resource for SERC pedagogical materials developed for use in MIT courses. SERC brings together cross-disciplinary teams of faculty, researchers, and students to develop original pedagogical materials that meet our goal of training students to practice responsible technology development through incorporation of insights and methods from the humanities and social sciences, including an emphasis on social responsibility. Materials include the MIT Case Studies Series in Social and Ethical Responsibilities of Computing, original Active Learning Projects, and lecture materials that provide students hands-on practice and training in SERC, together with other resources and tools found useful in education at MIT. Original homework assignments and in-class demonstrations are specially created by multidisciplinary teams, to enable instructors to embed SERC-related material into a wide variety of existing courses. The aim of SERC is to facilitate the development of responsible “habits of mind and action” for those who create and deploy computing technologies, and fostering the creation of technologies in the public interest.

Material Type: Full Course

Authors: Kaiser, David, Shah, Julie

Ethics of AI Bias

(View Complete Item Description)

This video aims to delve into the human problems brought out by issues in artificial intelligence, specifically with respect to bias. It is suitable for classroom use or as a standalone video for those who wish to understand the issue more deeply than is conventionally covered. For classroom use, we recommend watching the chapterized version of the video and working through the teaching materials provided for each chapter.

Material Type: Full Course

Authors: Minkov, Svetozar, Trout, Bernhardt

Ethics of Technology

(View Complete Item Description)

This course introduces the tools of philosophical ethics through application to contemporary issues concerning technology. It takes up current debates on topics such as privacy and surveillance, algorithmic bias, the promise and peril of artificial intelligence, automation and the future of work, and threats to democracy in the digital age from the perspective of users, practitioners, and regulatory/governing bodies.

Material Type: Full Course

Author: Mills, Kevin