"Algorithms measure is a ghost of a pattern that once looked like someone statistically adjacent to you and me. The gap between past and present is costing us more than we notice."
"Imagine you are standing on one side of a traditional scale. On the other side: a machine that has never met you, never been hungry, never buried anyone, never changed its mind at three in the morning."
"Asymmetry in mathematics is the absence of equivalence on both sides of a relationship. In algorithmic systems, the asymmetry is threefold."
"Those who design the system and those who are shaped by its outputs have radically unequal access to information about how it works—a phenomenon researchers call the opacity problem."
Algorithms increasingly influence critical decisions in people's lives, often without personal context. This creates algorithmic asymmetry, where designers have more information than those affected. The data used by algorithms reflects past inequalities, leading to persistent disparities. Individuals from various demographics face challenges, such as job applications being filtered out or insurance premiums being adjusted without transparency. Understanding the social systems surrounding these algorithms is essential to address the growing power and impact of these technologies.
Read at Psychology Today
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