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Meaningful guidance without attention capture

07

Recommendations & AI

How Vidyame recommends next steps and uses AI-assisted discovery, synthesis, and learning support.

The principle

Technology should deepen agency and understanding—not dependency.

What the policy covers

Commitments people can understand and use.

  1. 01

    Quality before popularity

    Use relevance, provenance, learning purpose, and trusted curation rather than engagement alone.

  2. 02

    Explain important recommendations

    Help members understand why a source, lesson, person, or Kendra is being suggested.

  3. 03

    Control and reset

    Allow members to shape, pause, clear, or step outside personalized recommendations.

  4. 04

    Source-grounded AI

    Cite available sources, label synthesis, distinguish perspectives, and state meaningful uncertainty.

  5. 05

    No simulated authority

    AI should not impersonate an Ācārya, guru, scholar, creator, or tradition.

Working policy architecture

This policy architecture defines the product promise. Final legal terms will add jurisdiction-specific language without weakening the plain-language commitments.

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