English

Evaluation for Change

Computation and Language 2022-12-23 v1 Artificial Intelligence Machine Learning

Abstract

Evaluation is the central means for assessing, understanding, and communicating about NLP models. In this position paper, we argue evaluation should be more than that: it is a force for driving change, carrying a sociological and political character beyond its technical dimensions. As a force, evaluation's power arises from its adoption: under our view, evaluation succeeds when it achieves the desired change in the field. Further, by framing evaluation as a force, we consider how it competes with other forces. Under our analysis, we conjecture that the current trajectory of NLP suggests evaluation's power is waning, in spite of its potential for realizing more pluralistic ambitions in the field. We conclude by discussing the legitimacy of this power, who acquires this power and how it distributes. Ultimately, we hope the research community will more aggressively harness evaluation for change.

Keywords

Cite

@article{arxiv.2212.11670,
  title  = {Evaluation for Change},
  author = {Rishi Bommasani},
  journal= {arXiv preprint arXiv:2212.11670},
  year   = {2022}
}

Comments

Exploratory position paper

R2 v1 2026-06-28T07:48:42.187Z