my research direction
When done well, XAI should help answer these questions:
“Why did the AI output this result for a given input?”
“Which input features or factors contributed the most to this decision?”
“Under what conditions is the AI reliable (or unreliable)?” - this is a big one
“What are the limitations, biases, or risks of using this model in production?” - this is more for others
“How can we debug, audit, or improve the model behavior (especially for fairness / safety)?”
The limitation of XAI is that it cannot scale when we try to trace the path of every neuron. We need to understand why we need that


Model Audit
Examining AI behaviors for hidden risks.


Safety Checks
Custom tests to ensure model reliability.




Recon Tools
Developing tools to probe AI safely.
Risk Analysis
Identifying and mitigating AI threats.
