ML & AI
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Automated and scalable solutions for AI model explainability and robustness auditing
Complex AI systems are inherently black-boxes with minimal insight into their internal functionality. This bears the danger of decisions that are not justifiable, legitimate, robust against external manipulations or that simply cannot be understood by stakeholders with different backgrounds.
To help organizations meet this challenge, QuantPi developed an innovative framework which systematically matches questions about the functionality of AI systems with appropriate algorithms to produce relevant explanations. Furthermore, it allows users to understand how the latter algorithms work and to evaluate risks when interpreting their output.