Why Replacing Someone Feels Like Admitting They Weren't Needed
The decision to automate tasks previously performed by humans triggers emotional responses that extend far beyond operat...
When to Use AI (And When to Stay Human)
Where should I use AI and where should I keep things purely human?
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Depth-First Pricing Looks Like Insanity Until It Works
Deciding when to deploy AI versus preserve human involvement becomes most critical in pricing strategy. A Human-Centered...
Routine Tasks Aren't Routine When Trust Depends on Them
The efficiency logic seems obvious: delegate repetitive tasks to AI and reserve human effort for complex work. This fram...
The Line Between Judgment and Pattern Matching
The distinction between human judgment and AI pattern matching represents a foundational boundary in Human-Centered AI S...
Automation Works When Someone Else Catches the Failures
The decision to automate specific tasks carries consequences that extend beyond efficiency gains. Within a Human-Centere...
Centralizing on AI Concentrates Power in Whoever Owns It
As organizations increasingly delegate communication, decision-making, and creative processes to AI systems, a structura...
AI Thrives in the 95% Case, Fails on the 5% That Matters
The decision of when to deploy AI versus maintain human involvement represents one of the most consequential choices in ...