To Live in Their Utopia: Why Algorithmic Systems Create Absurd Outcomes

要旨

The promise AI's proponents have made for decades is one in which our needs are predicted, anticipated, and met - often before we even realize it. Instead, algorithmic systems, particularly AIs trained on large datasets and deployed to massive scales, seem to keep making the wrong decisions, causing harm and rewarding absurd outcomes. Attempts to make sense of why AIs make wrong calls in the moment explain the instances of errors, but how the environment surrounding these systems precipitate those instances remains murky. This paper draws from anthropological work on bureaucracies, states, and power, translating these ideas into a theory describing the structural tendency for powerful algorithmic systems to cause tremendous harm. I show how administrative models and projections of the world create marginalization, just as algorithmic models cause representational and allocative harm. This paper concludes with a recommendation to avoid the absurdity algorithmic systems produce by denying them power.

著者
Ali Alkhatib
University of San Francisco, San Frnacisco, California, United States
DOI

10.1145/3411764.3445740

論文URL

https://doi.org/10.1145/3411764.3445740

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Technology Resistance / HCI and Distinct Populations / Queering Technologies

[B] Paper Room 03, 2021-05-14 01:00:00~2021-05-14 03:00:00 / [C] Paper Room 03, 2021-05-14 09:00:00~2021-05-14 11:00:00 / [A] Paper Room 03, 2021-05-13 17:00:00~2021-05-13 19:00:00
Paper Room 03
12 件の発表
2021-05-14 01:00:00
2021-05-14 03:00:00
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