An open standard for declaring AI usage in software projects.

AICW AI Mentions (formerly AICW Rankings) is an open-source tool that helps online marketers track how often their products are mentioned in responses from popular AI chatbots.

The LLM Unlearning repository is an open-source project dedicated to the concept of unlearning in Large Language Models (LLMs). It aims to address concerns about data privacy and ethical AI by exploring and implementing unlearning techniques that allow models to forget unwanted or sensitive data. This ensures that AI models comply with privacy.

Indice d'implication de l'intelligence artificielle

Code for the paper "ClipMind: A Framework for Auditing Short-Format Video Recommendations Using Multimodal AI Models"

A study piece on AI ethics, safety, and emergence - principles, HR for human-AI teams, technical guardrails, and philosophy for working with possibly-emergent AI. Co-authored by Richard Bland (human) and Serene [AI].

Automated transparency, woven from the ground up. SBOM generation for Python & AI projects. Extract metadata from GGUF, ONNX, PyTorch, and Safetensors models. Build SBOM directly from Hugging Face URL. Native Hatchling build-hook support.

Open-source toolkit for capturing and analyzing undisclosed data collection by AI chat platforms — extracts telemetry ratios, hidden integrations, experiment configs, and PII transmission patterns

📡 The official Microslop Manifesto. Tracking the systematic flooding of the internet with AI-generated slop and documenting the decay of search and UI quality.

AIAS — İçerik üretiminde yapay zekanın nasıl ve ne ölçüde kullanıldığını belirten açık atıf beyanı standardı.

pRISM is a repository that combines Retrieval-Augmented Generation (RAG) with a multi-LLM voting approach to create accurate and reliable AI-generated outputs. It integrates multiple language models, including Mistral, Claude 3.5, and OpenAI, to enhance performance through advanced consensus techniques

A simple, universal system that labels ai responses so anyone can instantly tell what the output is and how it’s meant to be used.

Simple graphics intended to serve as a "this was vibe coded FYI" and attribute model

AI-powered civic intelligence platform scoring political events on constitutional damage vs. media distraction. 59+ weeks of immutable data. Full algorithmic transparency.

OKI TRACE: Local LLM observability. See step-by-step, layer-by-layer what your AI thinks. Logit Lens & Attention for HuggingFace models.

DecisionTrace is a simple, powerful tool for creating an audit trail of your AI's decisions. Think of it as a flight data recorder for your AI.

Making agentic AI transparent, auditable and controllable — one card at a time.

AI transparency badge for websites. One script tag. EU AI Act ready. 4.6 KB. Zero cookies. Built by AI.

Pragmatic Existentialism & Antagonistic Cooperation: A formal theory positing that truth and ethics emerge from the need for coherent systems to overcome shared obstacles, defining belief utility by survival fitness and cooperation.

The cognitive discipline your AI-assisted projects need. Framework + Rust CLI to externalize scope, decisions, and risks (Charters, AILOG, AIDEC, ADR) so AI agents stay coherent across many turns. ISO 42001 / EU AI Act / NIST AI RMF evidence as a side effect. EN/ES/zh-CN.