AI Security Council

AI Security Council is an AI safety certification tool that provides independent AI model certification and publishes a Trust Leaderboard. It ranks frontier models based on transparency, robustness, and alignment.

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At a glance

Pricing

Likely Not Free

Free tier

API

Skill level

Technical

About

What is AI Security Council?

The AI Security Council (AISC) offers independent AI model certification, aiming to advance global AI safety standards. It publishes a Trust Leaderboard that ranks over 42 frontier AI models, evaluating them on key criteria such as transparency, robustness, and alignment. The organization provides AISC-verified certifications, ensuring that AI models meet rigorous standards for safe and responsible deployment. This initiative helps users identify and trust AI systems that adhere to high safety and ethical guidelines, protecting against potential risks and promoting secure AI development.

Best used for

Ideal for developers and data scientists who need to certify their AI models for safety, evaluate frontier AI models, and ensure ethical AI deployment. Especially valuable for organizations committed to adhering to global AI safety standards and promoting responsible AI development.

Common actions

certify AI models

evaluate AI safety

rank AI models

ensure AI transparency

assess AI robustness

Capabilities

Key features

Independent AI model certification
Publish Trust Leaderboard
Evaluate AI transparency
Assess AI robustness
Measure AI alignment
Advance global AI safety

Target Audience

developerdata scientiststartup founder

Integrations

Not yet documented

Pricing & Plans

Likely Not Free

Not publicly disclosed. Check aisecuritycouncil.org for current pricing.

FAQs

How does the AI Security Council (AISC) fund its independent certification process if it's 'Likely Not Free'?

While the certification process for AI models is not free, AISC operates as an independent body. Funding likely comes from certification fees paid by AI developers, grants, or partnerships, ensuring its ability to objectively evaluate models without bias from any single vendor.

What specific criteria does the AISC use to evaluate AI models for its Trust Leaderboard and certifications?

AISC evaluates models based on key criteria including transparency (understanding model behavior), robustness (resilience to adversarial attacks), and alignment (ensuring model goals match human values and intent). These form the core of their rigorous safety and ethical guidelines.

Can smaller AI developers or open-source projects afford AISC certification, or is it primarily for large frontier models?

AISC aims to advance global AI safety, which includes all models. While the current leaderboard features frontier models, AISC's certification process is designed to be accessible. Specific pricing tiers or programs for smaller developers would need to be confirmed directly with AISC.

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