Data Science

Messy Desks Are Perfectly Optimized

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While I was out at a meeting, my meticulously neat wife armed herself with a feather duster, donned protective pink rubber gloves, and viciously, mercilessly straightened, organized, and dusted the desk in my home office. My desk was clean, but the results were suboptimal.

#MeToo

What MeToo Is Teaching AI

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The coincidental emergence of the #MeToo hashtag and self-training, self-replicating AI systems got me thinking. How will a self-training AI system be biased when learning from the #MeToo hashtagged posts? And how would the advent of self-training AI affect the systems that control our news feeds and other curated content presented to us?

Why Lose-Lose Almost Always Beats Win-Win

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Professional negotiators often wax poetic about win-win outcomes: where both sides cooperate and compromise. In practice, win-win is never a dominant strategy. Lose-lose almost always beats it. Here’s why.

Chipping Humans

Chipping People: Are You Ready?

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Proponents of the technology tout its convenience and the idea that you never have to remember your wallet or a password, ever again. While they are technically correct, chipping people invokes a train of thought that quickly descends to the darkest of places.