Why AI accountability needs a public record
AI is advancing faster than the rules that govern it. Here's why the world needs a permanent, community-governed public record of AI behavior.
The gap between AI capability and oversight
In 2026, AI systems make decisions that affect millions of lives — loan approvals, hiring, medical diagnoses, content moderation, and legal interpretation. Yet there is no independent, community-governed global standard for documenting AI behavior in the real world.
The current state of AI accountability has three problems:
1. **Self-reporting.** AI companies grade their own exams. Incident reports are often delayed, edited, or quietly dropped.
2. **Centralized data.** Few public databases exist, and those that do are owned by single organizations.
3. **No provider response loop.** When something goes wrong, AI providers rarely publish a public, verifiable response.
What ALPAR does differently
ALPAR is a community-governed trust infrastructure. Anyone can submit an incident. PII is masked automatically. Volunteer moderators review every submission. AI providers can post a verified official response.
The goal is not to punish AI companies. The goal is to **build a permanent, public, verifiable record** of AI behavior so that users, regulators, and developers can make better decisions.
What's next
- **Public API** for researchers and journalists
- **Academic citations** so papers can cite specific incidents
- **Provider Trust Score** v2 with statistical rigor
- **Multilingual support** beyond EN and TR
We are early. But the public record starts somewhere — and it starts with you.