The Slodderwetenschap (Sloppy Science) of Stochastic Parrots -- A Plea for Science to NOT take the Route Advocated by Gebru and Bender
Not on the map. Why?
Abstract (arXiv)
This article is a position paper written in reaction to the now-infamous paper titled "On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?" by Timnit Gebru, Emily Bender, and others who were, as of the date of this writing, still unnamed. I find the ethics of the Parrot Paper lacking, and in that lack, I worry about the direction in which computer science, machine learning, and artificial intelligence are heading. At best, I would describe the argumentation and evidentiary practices embodied in the Parrot Paper as Slodderwetenschap (Dutch for Sloppy Science) -- a word which the academic world last widely used in conjunction with the Diederik Stapel affair in psychology [2]. What is missing in the Parrot Paper are three critical elements: 1) acknowledgment that it is a position paper/advocacy piece rather than research, 2) explicit articulation of the critical presuppositions, and 3) explicit consideration of cost/benefit trade-offs rather than a mere recitation of potential "harms" as if benefits did not matter. To leave out these three elements is not good practice for either science or research.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 1 of its 23 references that are in the map. First posted on arXiv 11 Jan 2021.
Builds on
1 of 23 references.
References · 1
- 2020Large image datasets: A pyrrhic win for computer vision?cited by 237
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 1.
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