AI Literacy Course

  Welcome to Week 17 of the AI Literacy Course. Imagine creating a short video using: a photograph found online; music from a streaming service; an AI-generated voice; text paraphrased by an AI tool; your own editing and narration. You may have access to every component, but that does not mean you have permission to upload, adapt, or publish all of them. Responsible creation begins before generating content and continues until the final publication decision. The central rule is: List every component, define the intended use, show the ground for use, credit and disclose honestly, and publish only when the evidence supports the decision. Learning goals By the end of this lesson, you should be able to: distinguish ideas and facts from protected expression; distinguish access, ownership, permission, and licence conditions; identify the different rights that may affect a creative product; apply Creative Commons conditions; check material before uploading it to an AI tool; distinguish at...

  Welcome to Week 18 of the AI Literacy Course. Imagine that an organisation wants to introduce an AI assistant for handling customer cases. The supplier promises faster work and lower costs. However, employees will need to check the answers, correct mistakes, explain decisions, manage complaints, and remain responsible when something goes wrong. Has the AI system saved work—or moved work and responsibility to different people? This lesson examines how AI can change tasks, working conditions, power, skills, and the distribution of benefits. The central rule is: Define the problem, map the work, measure benefits and harms, involve affected people, and keep the power to pause or stop. Learning goals By the end of this lesson, you should be able to: analyse tasks instead of making simple predictions about whole occupations; distinguish automation, augmentation, and hidden work; assess productivity and job quality together; recognise algorithmic management and high-impact employment us...

  Welcome to Week 19 of the AI Literacy Course. Imagine that a municipality asks residents to comment on a new transport plan. Thousands of responses arrive in several languages. The municipality uses AI to translate, group, and summarise the responses. The final summary says that most participants support the plan. But important questions remain: Did the summary preserve disagreement? Did a rare accessibility concern disappear? Were repeated or automatically generated responses identified? Could residents check how their contribution was interpreted? Did the consultation influence the decision? Will the municipality explain what changed? AI can make participation more accessible and manageable. It can also hide voices, distort priorities, or create the appearance of participation without real influence. The central rule is: Show where the decision is, protect every route to participation, preserve disagreement, and require an accountable response. Learning goals By the end of this...