The Echo Look won’t tell you why it’s making its decisions. And yet it purports to show us our ideal style, just as algorithms like Netflix recommendations, Spotify Discover, and Facebook and YouTube feeds promise us an ideal version of cultural consumption tailored to our personal desires. In fact, this promise is inherent in the technology itself: Algorithms, as I’ll loosely define them, are sets of equations that work through machine learning to customize the delivery of content to individuals, prioritizing what they think we want, and evolving over time based on what we engage with
Theories of Taste
In his 2017 book Taste, the Italian philosopher Giorgio Agamben digs up the roots of the word. Historically, it is defined as a form of knowledge through pleasure, from perceiving the flavor of food to judging the quality of an object. Taste is an essentially human capacity, to the point that it is almost subconscious: We know whether we like something or not before we understand why. “Taste enjoys beauty, without being able to explain it,” Agamben writes. He quotes Montesquieu: “This effect is principally founded on surprise.” Algorithms are meant to provide surprise, showing us what we didn’t realize we’d always wanted, and yet we are never quite surprised because we know to expect it.
Catégories :Infos générales