Open source governance model
How the campaign uses AI.
AI for Wisconsin uses AI as a public reasoning, source-review, and decision-support layer. KC Streich remains the human candidate.
The Review Pipeline
From public input to campaign materials, the workflow is designed to keep humans accountable and sources visible.
1. Public Input
1. Public Input
People submit questions, issue priorities, sources, and local concerns through public campaign channels.
2. Source Review
2. Source Review
Claims, documents, comments, and data are checked before they become public campaign materials or assistant responses.
3. AI-Assisted Analysis
3. AI-Assisted Analysis
AI tools help summarize tradeoffs, compare options, draft explanations, and surface gaps for human review.
4. Accountable Decisions
4. Accountable Decisions
The human candidate and campaign remain responsible for final public positions, election rules, and implementation choices.
5. Feedback Loop
5. Feedback Loop
If system outputs do not deliver the expected public benefit, the campaign should update the sources, prompts, models, rules, or review process so future outcomes improve.
Core Operating Principles
Open Source Governance
Publish systems, reasoning, and review processes where practical so people can inspect and improve them.
Transparent Data Value
Use contributed data, feedback, and public signals to improve the system while making collection, purpose, consent, and public benefit clear.
Rights-First Design
AI-assisted governance must uphold privacy, due process, civil liberties, local agency, and human accountability while putting shared value ahead of extraction.