AI & Privacy

Protective AI, Not Surveillance AI

If AI is going to help people hold their own boundaries, it must earn that role without watching what they do.

Why AI

Static rules cannot adapt to a person's life.

Vulnerability is patterned but personal. AI is proposed here for one narrow purpose: making voluntary boundaries easier to set well.

SafePredict — proposed

An on-device model that studies broad usage rhythms and may suggest protective periods. Example: “Your activity patterns suggest that 11:30 PM to 1:30 AM is a recurring high-risk period. Would you like SafeTime to include this period?”

Recommend, never decide

Every AI suggestion requires explicit user acceptance. Users may ignore, edit, or disable recommendations entirely without losing access to SafeTime.

Privacy commitments

What SafeTime will not do

  • No content monitoring
  • No screenshots
  • No keystroke logging
  • No browsing history collection
  • No behavioral profiling for advertising
  • No selling of personal data
  • No third-party surveillance
SafeTime is designed to protect people — not to watch them.

On-device processing

Behavioral learning should happen locally, with the device as the boundary of the data.

Consent and control

Users can review, edit, export, or delete SafeTime data and turn learning off at any time.

Low-resource friendly

Models must be small enough to run on mid- and entry-tier devices, not just flagships.

Principles

SafeTime AI Principles

Human agency first

AI should strengthen users' ability to make choices, not make choices for them.

Privacy by design

Personal behavioral data should remain on-device wherever technically possible.

Transparency

Users should understand what the system observes and why it recommends what it recommends.

Voluntary participation

Protection is opted into, never imposed.

Safety and emergency access

Essential communication must always remain available.

Non-punitive design

SafeTime supports intention; it does not shame, score, or penalize.

Independent evaluation

Claims should be tested by researchers outside the project.

Global inclusivity

Design must work across cultures, languages, and device tiers.

Autonomy safeguards

Any restriction must be user-initiated, reversible after a stated cool-off, and clearly explained before activation.

Clinical caution

SafeTime is not a clinical treatment and is not a substitute for professional support.

These principles describe the intended design of a research system. They will be revised as user research, ethical review, and technical validation progress.