Examine training data, copyright, labour and energy to discuss the benefits, responsibilities and costs of AI. Give students evidence for discussing technological choices.
Break down a claim about an AI company, identify the people affected, distinguish facts from value judgments and explain a position.
For AI ethics discussions, digital society and interdisciplinary inquiry.
Courses can connect more than one area. These descriptions come from the existing course collection.
A short video about Anthropic puts training data, copyright, labour and energy in one frame, and it is easy to land straight on “AI companies sacrifice a lot of people”. The course does not ask you to take a side first. It starts from a simpler question: who is actually paying?
View in the course catalog ↗
Students distinguish facts, opinions and value judgments, then choose appropriate checks: scope and samples, reasons, or evaluative criteria.
View in the course catalog ↗Start with a reading, a piece of writing or a project. See how the Mark of Thinking can support your teaching.