Guiding Principles for Participatory Design-inspired Natural Language Processing

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CASELLI Tommaso CIBIN Roberto CONFORTI Costanza ENCINAS Enrique TELI Maurizio

Rok publikování 2021
Druh Článek ve sborníku
Konference NLP4POSIMPACT 2021: THE 1ST WORKSHOP ON NLP FOR POSITIVE IMPACT
Citace
Popis We introduce 9 guiding principles1 to integrate Participatory Design (PD) methods in the development of Natural Language Processing (NLP) systems. The adoption of PD methods by NLP will help to alleviate issues concerning the development of more democratic, fairer, less-biased technologies to process natural language data. This short paper is the outcome of an ongoing dialogue between designers and NLP experts and adopts a non-standard format following previous work by Traum (2000); Bender (2013); Abzianidze and Bos (2019). Every section is a guiding principle. While principles 1-3 illustrate assumptions and methods that inform community-based PD practices, we used two fictional design scenarios (Encinas and Blythe, 2018), which build on top of situations familiar to the authors, to elicit the identification of the other 6. Principles 4-6 describes the impact of PD methods on the design of NLP systems, targeting two critical aspects: data collection & annotation, and the deployment& evaluation. Finally, principles 7-9 guide a new reflexivity of the NLP research with respect to its context, actors and participants, and aims. We hope this guide will offer inspiration and a road-map to develop a new generation of PD-inspired NLP.

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