CognOS provides a robust framework for verifying AI outputs, ensuring correctness and compliance. Designed to enhance transparency in AI systems, this tool supports multiple providers and offers quick setup for proof of concept, making it a vital resource in building public trust in AI applications.
CognOS represents a pivotal shift in establishing trust for artificial intelligence (AI) decisions. This tool offers verification for large language model (LLM) outputs, ensuring correctness and compliance, a vital necessity in an AI-driven economy.
Overview
CognOS serves as the essential trust layer within the AI landscape. It allows users to verify the integrity of AI outputs, thereby enhancing accountability and compliance with regulations such as the EU AI Act and GDPR. By providing cryptographic proof and robust audit trails, CognOS ensures that AI applications can be transparently assessed, which is crucial for sectors like healthcare, finance, and legal compliance.
Key Features
- Multi-Provider Support: Seamlessly integrates with various AI providers, including OpenAI, Google, Claude, Mistral, and Ollama, allowing practitioners the flexibility to choose their desired tools.
- User-Friendly Setup: Configuration is straightforward and can be completed in less than thirty seconds. This reduces overhead and accelerates deployment processes for organizations.
- Use Cases Across Industries:
Healthcare Legal Finance Compliance Verify AI diagnoses before patient interaction Provide cryptographic proof for legal discovery Assess risk associated with AI-supported decisions Comply with the EU AI Act and GDPR requirements - Robust Risk Evaluation: Implements both epistemic and aleatoric uncertainty quantification to score AI-assisted decisions, thus boosting trustworthiness.
Implementation Examples
To get started, Clone the repository and set up the environment:
# Clone the repository
.git clone https://github.com/base76-research-lab/operational-cognos.git
cd operational-cognos
# Install the necessary Python packages
python3 -m venv .venv
. .venv/bin/activate
pip install -r requirements.txt
Submit a proof request using cURL:
curl -sS http://127.0.0.1:8788/v1/chat/completions \
-H 'Content-Type: application/json' \
-d '{
"model": "openai:gpt-4o-mini",
"messages": [{"role":"user","content":"Proofread and stress-test my concept pitch in 5 bullets."}],
"cognos": {"mode":"monitor"}
}'
Why Choose CognOS?
CognOS stands out by providing features such as:
- Built-in verification capabilities
- Comprehensive audit trail features using cryptography
- Support for multiple AI providers, contrary to solutions that focus on a single provider
- Simplified integration and compliance readiness, significantly reducing the time to achieve trust verification.
Community Engagement
CognOS aims to foster collaboration among researchers and developers focused on AI safety, formal verification, policy governance, and deeper integration with popular AI frameworks. Community participation is encouraged through contributions, discussions, and resource sharing.
Join the journey of building trust in AI with CognOS—the foundational layer that empowers responsible AI applications.
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