Skip to content
#

ai-trust

Here are 25 public repositories matching this topic...

Community-driven behavioral reliability benchmark for LLMs. 231 probes across 19 modules, deterministic scoring, perplexity correlation, layer sensitivity mapping, quant method capture, hardware-stratified community rankings. Every test contributes to the community dataset.

  • Updated May 4, 2026
  • Python

Trust Identity Protocol (TIP) Specification v5.0. The open, post-quantum, federated standard for verified human identity and AI content provenance on the internet. Whitepaper at theailab.org/whitepaper, DOI 10.5281/zenodo.20722378.

  • Updated Aug 27, 2026
  • JavaScript

FDE Consultants Protocoles — open-source Forward Deployed Engineer + DeepSCR protocol: turn any coding agent (Claude Code, Codex, Cursor) into a certifying engineer with verifiable AI Assurance Scores, MCP tools, and a public trust registry. Apache-2.0.

  • Updated Jul 3, 2026
  • HTML

Improve this page

Add a description, image, and links to the ai-trust topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the ai-trust topic, visit your repo's landing page and select "manage topics."

Learn more