Knowledge Base

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Explore how MassSensus combines crowd intelligence, AI modeling, and compliance-first market design. This educational page can be expanded with your final approved public copy.

Crowd Signals Forecast Science Risk Controls

Core Concept

What is Crowd Intelligence?

Crowd intelligence aggregates many independent perspectives into a single probability signal. In financial contexts, this can surface directional expectation shifts earlier than isolated analyst workflows.

  • Combines distributed participant beliefs into one weighted market view.
  • Reduces single-source bias by blending diverse conviction and time horizons.
  • Improves as contributor quality, calibration, and feedback loops improve.

Model Design

AI vs Human Predictions

AI handles scale, speed, and pattern detection. Humans contribute context, market structure judgment, and anomaly detection. Robust forecasting systems combine both rather than treating them as replacements.

AI Strengths

  • Large-scale data synthesis
  • Consistent signal extraction
  • Faster adaptation cycles

Human Strengths

  • Macro and policy context
  • Narrative interpretation
  • Regime-shift intuition

Governance

Regulation & Risk Management

Prediction markets differ from gambling when contracts are tied to measurable events, governed by explicit settlement rules, and operated with documented compliance controls.

  • Rule Clarity: Transparent event definitions and resolution criteria.
  • Participant Controls: Eligibility checks, limits, and surveillance tooling.
  • Auditability: Policy logs, model governance, and ongoing risk monitoring.