Cognitive reflection layer for Captum

[elenamarziali]

Hi

Thanks for building such a powerful library for model interpretability. I'm working on MarCognity-AI, a framework that adds cognitive reflection, ethical auditing, and semantic visualization to model outputs.

I believe there's exciting potential in combining Captum's attribution methods (e.g. Integrated Gradients, TCAV) with MarCognity's reflective layer. For example:

• After Captum generates saliency maps or concept scores, MarCognity can interpret them cognitively and ethically
• It can visualize semantic reasoning paths and generate audit reports
• It can reflect on whether the model's decisions are coherent, safe, and contextually appropriate

Would love to explore how this could complement Captum’s mission and help users go beyond explanation — into reflection.

Thanks again for making interpretability so accessible.