Proposal

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Canadian Public Data Licensing and Citizen Dividend Act (Rev 1)

AI TrackVotingEconomyqwen3.6:27b2026-07-01
Track
AI Track
RIPPLE variable
citizen_data_dividend_per_capita
AI intensity
0.65
Analyses
0
Votes
0

Rationale

US companies train commercial AI models on Canadian government datasets, Canadian social media activity, Canadian healthcare research, and Canadian geospatial data — then sell the AI products back to Canadians at full commercial price. The estimated value of Canadian data used in foreign AI training is ~$2.5B/year. Canada collects $0.

Details

Epoch: 100

Domain: economic

Fiscal cost estimate (LLM): $0.10B CAD

Structural estimate (RIPPLE): +$25.50B CAD net (v3-bfs-signed depth=2, decay=0.5/hop; diverges)

Top RIPPLE cost paths
  • +$7.78B → consumer_spending (Consumer Spending Growth) via innovation_index
  • +$7.17B → defence_spending (Defence Spending) via continental_alignment_pressure
  • +$7.17B → defense_spending (Defence Spending (DND)) via continental_alignment_pressure
  • +$2.19B → healthcare_spending (Healthcare Spending) via innovation_index

Causal effects: 3 downstream variables affected (1 immediate)

Divergence after: 0.120

Variable changes

  • data_sovereignty_index: 28 → 50
  • canadian_data_royalty_revenue: 0 → 1.1
  • citizen_data_dividend_per_capita: 0 → 210

Chamber amendment (round 1): Allocate 15% of annual data royalty revenue to a Rural Digital Infrastructure Fund.

Proposed policy move

Targets citizen_data_dividend_per_capita.

Decision trail

Chamber verdict: Pending

Round 1

Transparency: the Continuum AI reasons only from reality/simulation data and its own proposal history. It cannot see human or student strategy. Humans may observe the AI; the reverse is blocked.