AI Governance & Transparency

Ensuring ethical, accurate, and community-controlled AI implementation.

Human-in-the-Loop Principle
Core Policy

"AI suggests, Officials certify."

In the context of democratic elections, AI is never the final authority. The BallotBox platform uses GenAI strictly as a productivity tool to assist Electoral Officers (EOs) in parsing complex legal documents. All AI-generated summaries and extractions are presented as draft suggestions that must be verified and manually applied by a human official.

Stateless Data Privacy

Documents uploaded for AI analysis are processed statelessly. We do not use community election codes or member data to train underlying Large Language Models (LLMs). Your data remains your property.

Deterministic Oversight

While the AI helps identify dates and eligibility, the actual enforcement of these rules is handled by deterministic, non-AI logic in our security rules and database constraints.

1. Scope of AI Usage

How and where we use AI within the platform.

Code Analysis

Summarizing community bylaws to extract nomination periods, eligibility requirements, and reporting deadlines.

Officer Support

Providing context-aware help documentation to staff during polling station setup.

2. Accountability & OCAP® Compliance

In alignment with Indigenous Data Sovereignty (OCAP®) principles, the communities using this platform retain full control over what documents are submitted for analysis. BallotBox does not maintain a cross-community repository of election codes for AI training. Every analysis request is isolated to the specific community environment.

Technical Implementation

Models: Powered by Google Gemini 2.5 Flash via Firebase Genkit.

Processing: Data is encrypted during transit to the inference endpoint and is not stored in persistent model memory.

Validation: All AI outputs are timestamped and logged in the Security Integrity Log for audit purposes.