In this context it means something specific, and people understand it. Algorithm as a word has moved far beyond computer science contexts.
The car engine is subject to you—well, until skynet actually takes over. You steer, wheels turn; you press down, it accelerates. You don’t experience the car engine at all like a hiring algorithm. Supply chain is invisible to people, only experienced as price, maybe quality.
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BMW maintenance lights are an interesting area for 'trust the black box' https://itstillruns.com/reset-bmw-service-indicator-5068469.html …
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In other words, you know the areas where you do and don't have agency. Which is rather like Twitter, in that you need to know the rules. For example, this is a bad place to have the nuanced conversation this topic deserves.
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True to Twitter part. But there’s been a linguistic evolution, as people search for a term for the concept: machine intelligence that appears deployed against them in ways they don’t understand and don’t have meaningful control. In think machine learning further complicates this.
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