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Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?

Scholarly publication record and open access repository entry.

External scholarly reference · 2021Third-party work

On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?

Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, Shmargaret Shmitchell

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, pp. 610-623(2021). DOI: 10.1145/3442188.3445922

Authors & Co-Investigators

  1. Emily M. Bender
  2. Timnit Gebru
  3. Angelina McMillan-Major
  4. Shmargaret Shmitchell

Abstract & Research Overview

Examines environmental costs, training-data risks, bias, and limits of large language models without grounded understanding.

External background reference; no BBQ authorship or affiliation is claimed.

Open Access & DOI Link

Rights and access conditions are stated by the publisher.

Official publication DOI link: https://doi.org/10.1145/3442188.3445922