What Happens to Dog Training When You Tie Most of Your Brain Behind Your Back?

Using the concept of the Fishbowl Dog, it explores how highly managed environments may produce excellent performance under controlled conditions while leaving some dogs less prepared to organize behavior under real-world complexity. The goal is not to replace reward-based training, but to broaden the scientific framework used... (MORE)

 

AI Shaming: the Social Regulation of Artificial Intelligence Use: Shame, Norms, and Opportunity Costs in Technological Transitions:

This analysis treats AI shaming as one observable regulatory mechanism within larger human-technological systems. Its value lies in clarifying how such mechanisms operate, where evidence supports or limits claims, and what opportunity structures are created or foreclosed, precisely the form of multi-level, evidence-governed inquiry required for coherent navigation of technological change... (MORE)

Why Dog Behavior Has No Unified Theory

There is currently no single unified theory of domestic canine behavior. Different scientific disciplines examine dogs through distinct lenses—ethology, learning theory, welfare science, neuroscience, and veterinary medicine—asking different questions and using the same words (such as “behavior,” “stress,” and “welfare”) to mean different things... (MORE)

Tame Problems vs. Wicked Problems in Dog Training and Management

Not every dog training challenge is the same. Some problems are tame—clear, well-defined issues like teaching a reliable sit, loose-leash walking, or basic crate acclimation that respond predictably to established learning principles. Others are wicked—complex, multi-layered challenges involving medical, developmental, environmental, physiological, and owner factors with no single fix or final stopping point... (MORE)