mlsanityData to 14 Oct 2026

The Slodderwetenschap (Sloppy Science) of Stochastic Parrots -- A Plea for Science to NOT take the Route Advocated by Gebru and Bender

arXiv 2101.10098 ↗First posted 11 Jan 2021cs.CY cs.AI cs.GLcited by 2

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

  1. 2020Large image datasets: A pyrrhic win for computer vision?cited by 237

Built on by

Cited by year

Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 1.

2 papers.