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AI transparency 2026-07-16

AI assists the workflow. People remain accountable.

School LMS uses several AI-assisted capabilities. This notice describes what they receive, why they are used, and where human judgment remains necessary.

This is the current operational notice for School LMS. It must be reviewed by qualified legal counsel and completed with the final operating entity details before commercial launch.

1. AI features

FeatureInformation usedPurpose and limit
Student doubt supportStudent questions and up to five completed exchanges in the same threadStudy assistance; not a guaranteed correct answer
Subjective and IELTS Writing evaluationStudent response, question, answer guidance, rubric, and assessment contextTeacher-reviewable scoring and feedback
Test and content creationTeacher instructions, course material, questions, and generation constraintsDraft content requiring teacher review
Progress and intervention supportGrades, completion, attendance, and selected learning signalsSuggestions for an authorized teacher or administrator
OCR and media generationAuthorized answer images, listening scripts, or visual instructionsTranscription, extraction, or generated audio/media

2. Providers

Depending on deployment configuration, AI processing may use GitHub Models, Groq, OpenAI, Gemini, or Wit.ai. Providers can change as models, reliability, contracts, and safety requirements change. The service operator must review provider retention and model-training settings before commercial use.

3. Human review

  • Teachers can review and override AI-assisted grades and feedback.
  • Generated assessments and learning material should be reviewed before publication.
  • Risk scores and interventions are support signals, not automatic disciplinary decisions.
  • AI doubt responses should be checked against trusted educational material.
  • AI must not make final safeguarding, medical, legal, admissions, or employment decisions.

4. Data minimization and logging

AI routes are intended to send only the content required for the requested task. Operational logs are designed to record provider, model, timing, failure category, and opaque actor references without recording raw prompts, student answers, essays, chats, or credentials.

5. Known limitations

AI can hallucinate facts, misunderstand handwriting, miss cultural or language context, apply rubrics inconsistently, and produce repetitive or biased suggestions. Confidence indicators are not guarantees. Users should report consequential errors and request human review.

6. Questions, correction, and objection

Use the Data Rights page to ask what AI-related personal data is processed, request correction of underlying records, raise a concern, or request eligible consent withdrawal.