Chatterbox AIMI

The Chatterbox AIMI platform is designed to deliver independent quantitative AI risk metrics applicable to any AI model architecture. This innovative platform enhances existing AI investments by validating AI models across several critical pillars, including Robustness, Privacy, Actions, Imitation, Fairness, Testing, Trace, and Explain.

With AIMI, organizations can conduct comprehensive evaluations of their AI systems to identify potential risks before deployment. The platform features an Executive Dashboard that provides a portfolio view of AI model risks, classifying them into three statuses: Fail, Warn, and Pass. This system aids decision-makers in overseeing AI production readiness.

In addition to its comprehensive capabilities, AIMI offers a specialized version for Generative AI, which focuses on validating large language models (LLMs) across four essential pillars: Privacy, Toxicity Scoring, Fairness, and Security.

• Privacy: Ensures models appropriately handle private information.
• Toxicity Scoring: Evaluates the likelihood of the model generating harmful content, including hate speech and discrimination.
• Fairness: Tests for unbiased behavior across various demographic groups.
• Security: Identifies vulnerabilities to manipulation through techniques like prompt injection and data poisoning.
  
  By integrating seamlessly into current workflows, the AIMI platform aims to support organizations in effectively managing and mitigating AI risks, ensuring compliance with emerging regulations such as the US AI Executive Order and the EU AI Act.