AI Basics

This page overviews key terms and concepts used in field of artificial intelligence (AI). It also covers the basic principles of generative AI and discusses history and ethical considerations  surrounding AI, empowering educators to critically engage with the discourse of artificial intelligence.

Course Policies

This page covers ethical guidelines and suggested policies for the role of AI in educational settings. It provides teachers with a range of reusable syllabus language and emphasizes the importance of trust, community, and student rights at CUNY in light of disruptive technology.

Assignment Makeovers

This page offers educators practical insights into redesigning their assignments to account for the potential uses of GenAI tools like ChatGPT. It explores ways to “stress test” existing assignment in pursuit of more open and well-scaffolded assignments and activities.

Sample Activities

This page provides openly licensed, AI-related learning activities for teachers to use in CUNY classes. The activities are designed to foster critical thinking skills and spark discussions that prepare students to navigate the complexities of a world increasingly influenced by AI.

Critical AI Literacy

This page explores the intersection of AI and critical literacy and encourages educators to equip students with the skills to critically evaluate AI-generated content for misinformation, biases, and the politics of citation and representation.

Labor Politics

This page examines the invisible labor force of today’s AI industry and covers issues of job displacement with regard to educational labor politics.

Big Data

This page covers the ethical issues surrounding the use of training dataset in AI systems and covers the role of algorithmic bias and intellectual property in large language models.

Environmental Costs

This page reviews the material consequences of energy-intensive AI systems in addition to the carbon footprint and sustainability concerns of the AI industry more broadly.