Fact-Checking Auto-Generated AI Hype
Students critically evaluate the claims made by AI-generated text, distinguishing between accurate information and exaggerated hype.
Bias in AI
AI Literacy Workshop Series
This collection of activities were part of a series of workshops on AI literacy, touching on tools, prompt writing, and more. The activities can be used individually or as a full series.
AI Literacy Workshop: Ethics and Social Justice
This workshop teaches participants how to recognize and mitigate biases in AI algorithms and data, ensuring fairness in AI systems by addressing issues such as demographic parity and equal opportunity.
Search Tool Comparison Activity
The assignment guides students to thoroughly evaluate different search tools, including Google Scholar, AI tools like ChatGPT and Elicit, and academic databases.
Harnessing Pandora’s Box: At the Intersection of Information Literacy and AI
Through six templated lesson plans, this resource covers information literacy and visual literacy. The assignment provides a structured framework for understanding and applying ethical principles in AI usage.
AI & Ethics
Students engage in role-playing activities where they run their own companies and make ethical decisions. This hands-on approach helps them understand the practical implications of AI ethics.
AI & The Environment
This assignment highlights how AI can process large datasets much faster than humans, aiding environmentalists in protecting wildlife. By analyzing camera trap and satellite data, AI helps researchers make informed decisions and conservation plans.
AI & Drawing
This assignment teaches students how data becomes output in AI models and highlighting the presence of human biases in datasets. By exploring drawing in Google Quick, Draw!, students learn core AI ideas in a fun and interactive way.
AI & Facial Recognition
The activity addresses biases in facial recognition, particularly how it fails more often on women and people with darker skin. It also discusses the ethical implications and legal responses to surveillance technology, fostering critical thinking and informed discussions among students.
NAEA Position Statement on Use of Artificial Intelligence (AI) and AI-generated Imagery in Visual Arts Education
This policy statement from the National Art Education Association emphasizes the need for ethical and responsible integration of AI tools in the Arts classroom.
Artificial Intelligence and Mathematics Teaching
This policy, from the National Council of Teachers of Mathematics, highlights the role of AI in enhancing personalized learning, emphasizing the need for teachers to integrate AI ethically while maintaining their pedagogical and relational expertise.
MLA-CCCC Joint Task Force on Writing and AI Working Paper
This policy, from The Modern Language Association (MLA)-Conference on College Composition and Communication (CCCC) Joint Task Force on Writing and AI, provides a comprehensive overview of the implications of AI in writing and literature education.
Artificial Intelligence Writing Tools in Writing Across the Curriculum Settings
This policy, from the Association for Writing Across the Curriculum (AWAC), emphasizes maintaining authentic writing experiences, integrating AI tools to complement best practices in Writing Across the Curriculum (WAC), and addressing ethical and practical implications of AI use in educational settings.
Evaluate: Bias
Students develop critical evaluation skills by assessing AI outputs for biases, assumptions, and stereotypes.
Professor Bot: An Exercise in Algorithmic Accountability
Students explore and reflect on algorithmic accountability through a speculative scenario where an AI called Professor Bot grades entrance essays.
Teaching Social Identity and Cultural Bias Using AI Text Generation
Students reflect on their personal histories and preferences by participating in an interactive survey. These responses are then analyzed using text generation models to explore how AI interprets and predicts social identities, highlighting the biases and assumptions inherent in AI technology.