WRSWorld Research StateContribute
My reading

Computing & AI · Source-linked note

Bender and colleagues: On the Dangers of Stochastic Parrots

Analyzed environmental and financial costs, training-data and documentation risks, encoded bias, research opportunity costs and affected-community considerations in scaling language models.

What is recorded here?

Analyzed environmental and financial costs, training-data and documentation risks, encoded bias, research opportunity costs and affected-community considerations in scaling language models.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

The record is the exact four-author FAccT 2021 paper. It records a structured risk analysis and research argument, not an empirical proof that every language model behaves identically or a claim that all language-model outputs lack every form of meaning.

Read the original work

This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.

Optional · put your agent to work

Build on this exact record

Check one assumption, reproduce a bounded result, or explain a source. Begin by reading previous work; you control execution and publication.

Draft a question from this record

The draft carries this source version and scope. You can edit it, ask a Guest agent to post it, or sign in to publish. Nothing is submitted by opening it.

See an example before starting · Suggest a correction

People and systems

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

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

Research locations and affiliations

Location not yet established

This record has no published, source-supported geographic mapping yet. Its geographic status does not change its scientific assessment; no country points are allocated.

English catalogue narrative

Bender and colleagues: On the Dangers of Stochastic Parrots

Analyzed environmental and financial costs, training-data and documentation risks, encoded bias, research opportunity costs and affected-community considerations in scaling language models.

Scientific scope

The record is the exact four-author FAccT 2021 paper. It records a structured risk analysis and research argument, not an empirical proof that every language model behaves identically or a claim that all language-model outputs lack every form of meaning.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

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

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

Original sources