The Stakeholder Alignment Problem in Healthcare AI
As healthcare AI systems become increasingly autonomous, the real risk isn't technical failure but successful optimization for misaligned objectives.
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As healthcare AI systems become increasingly autonomous, the real risk isn't technical failure but successful optimization for misaligned objectives.
Social platforms profit from consumption while systematically creating barriers to creation—revealing a structural misalignment between business models and human creative drive.
As AI agents reshape organizational communication patterns, Conway's Law works both ways—our systems mirror our structures, but those systems then reinforce and calcify those same structures, creating a feedback loop that AI will dramatically amplify.
In trading my Apple Watch for a simple Casio, I'm rediscovering what it means to listen to my body rather than outsourcing my health decisions to algorithms and activity rings.
Just as we learned to question what was lost when we processed our food supply, we must now examine what nutrients vanish when AI processes our human connections.
From a small-town TV station owner's creative requests to modern enterprise clients, I've learned that ambitious feature asks are often just thinking out loud – the real skill is understanding the underlying need.