AI Assurance Infra (Bias, Accuracy, etc.)

What

Infrastructure for providing guarantees around bias and accuracy, control over training data usage, comprehensive logging/evaluation, and offline operation capabilities for any integrated AI system.

Why

Give organizers confidence to use AI tools ↑, unblock trustworthy AI adoption ↑, protect participant data ↑ and ensure verifiable compliance ↑ across all AI-assisted deliberative activities.

Problem Definition

Process organizers want to leverage various AI tools in deliberative processes but face critical barriers: no unified way to ensure these tools meet bias/accuracy standards, fear of participant contributions being used in model training, lack of transparency across different AI systems, and accuracy/exfiltration concerns when tools use the internet. Without a trusted pipeline, organizers must either forgo AI benefits entirely or risk compromising participant trust and regulatory compliance.

Definition of Success

Process organizers can confidently deploy any AI tool with compliance guarantees, allowing them to choose AI-assisted over manual processes. For a Citizens’ Assembly (100-people, 5-days), reducing AI vetting time from weeks to hours per tool, saving ~$30,000 in manual processing and vetting across the process. Achieving 100% trust and participant consent compliance for data usage unlocking full AI tool usage and all associated ROIs.

Requirements

• Core Pipeline Features: bias and accuracy mitigations, monitoring, and guarantees.
• Ability to disable upstream model training on data.
• Unified logging across all AI tools with source tracking.
• Ofline mode.

Existing Limitations

Most deliberative processes either use no AI or rely on ad-hoc tool adoption with significant risks. Organizers often resort to copy-pasting between platforms, losing audit trails and control over participant data. No existing solution provides a unified pipeline that gives organizers confidence to deploy AI tools while maintaining consistent guarantees across them.

Milestones

1. Pipeline MVP with 3 AI tools integrated (summarization, theme extraction, sentiment analysis)
2. First live deliberative process using AI tools through the pipeline.
3. Certification from data protection authority for participant data handling.
4. Deployment in a major deliberative process with full organizer adoption.
5. Open-source release of core pipeline components for community deliberation platforms.

Starting Points

Reach out to capabilites@aidemocracyfoundation.org.