AI in the First Person Micro course
Erick Santos · Team AI for education
Submitted to AI Incident Response Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.
AI in the First Person is a community micro-course for critical generative-AI literacy, initially designed for young people, non-technical users, and participants with diverse educational trajectories. Through seven learning stations, the course combines exploration based on personal interests, creation of useful products, instruction improvement, information verification, bias recognition, data protection, and reflection on human responsibility. The project addresses the AI agency gap: access to an AI tool is not enough; people need to understand its limits, question persuasive outputs, identify risks, and decide when to stop, seek help, or escalate a situation. In this way, the course positions critical AI literacy as a complementary community layer of human oversight for AI systems.
Reviews
Solid curriculum design. Seven stations, a privacy and verification thread, real accessibility thought, sensible proposed measures. Honest limitations too, this is a proposed pilot with zero participant data, so it is a plan, not a result. And the incident-response link is thin, this is literacy and prevention. Run one pilot, report the actual measures, add a station that walks through a real incident timeline, and this scores higher.
Cite this project
@misc{santos2026ai,
title = {{AI in the First Person Micro course}},
author = {Erick Santos},
year = {2026},
month = sep,
note = {Submitted to AI Incident Response Sprint, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/ai-in-the-first-person-micro-course-jhxo}},
url = {https://apartresearch.com/sprints/projects/ai-in-the-first-person-micro-course-jhxo}
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