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Sprint projectSep 14, 2026Bogota

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.

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Report: AI in the First Person Micro course

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Presentation: AI in the First Person Micro course

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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.

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How much would this matter for AI safety if it worked? How innovative is it? For scores of 4-5: is this actually new to the field, or replicating recent work?

Scoring guide
  1. 1Negligible. No clear problem addressed, or no meaningful novelty.
  2. 2Limited. Addresses a real problem but with a generic or well-trodden approach. Incremental at best.
  3. 3Moderate. Clear problem with a reasonable approach; some novelty in framing or method beyond routine application of existing tools.
  4. 4Significant. Important problem with an original approach, or identifies a neglected problem area. A valuable contribution others could build on.
  5. 5Exceptional. Tackles a critical AI safety problem with a genuinely novel approach, or opens a new research direction. Clear theory of change. You'd be excited to share this with researchers in the area.

How sound are methodology, implementation, and findings?

Scoring guide
  1. 1Seriously flawed. Methodology broken, results uninterpretable, or implementation doesn't work.
  2. 2Weak. Approach has significant gaps: missing validation, flawed experimental design, or incomplete implementation.
  3. 3Competent. Technically solid given the short duration. Methodology makes sense, results are interpretable, limitations acknowledged, work builds toward clear conclusions.
  4. 4Strong. Thorough methodology with convincing validation. Results clearly support conclusions. Immediately useful for future work.
  5. 5Exceptional. Ambitious scope executed rigorously. Surprising findings, novel methods, or unusually robust validation.

How clearly are work, findings, and impact potential communicated?

Scoring guide
  1. 1Incomprehensible. Cannot determine what the project is actually claiming or doing.
  2. 2Hard to follow. Key information buried, missing, or diluted by excessive length. Significant effort to extract main points.
  3. 3Clear enough. Can understand the problem, approach, and results without undue effort. Core content clearly present: problem, method, findings, limitations.
  4. 4Well presented. Easy to follow, well-structured, appropriate level of detail. Target audience would get it quickly.
  5. 5Exceptionally clear. A pleasure to read. Complex ideas made accessible. Could serve as a model for how to present this type of work.

  1. 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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