Digital Labor and the Inconspicuous Production of Artificial Intelligence

TL;DR

This paper examines how digital platforms rely on unrecognized user labor, such as data annotation and engagement, which are crucial for AI development but remain invisible and undercompensated, highlighting systemic devaluation.

Contribution

It introduces the concept of 'inconspicuous production' to broaden understanding of digital labor and exposes systemic undervaluation of user contributions in AI-related activities.

Findings

Digital labor is often hidden and undervalued.

User activities like annotation and engagement are essential for AI.

The paper advocates for recognizing and compensating inconspicuous digital work.

Abstract

Digital platforms capitalize on users' labor, often disguising essential contributions as casual activities or consumption, regardless of users' recognition of their efforts. Data annotation, content creation, and engagement with advertising are all aspects of this hidden productivity. Despite playing a crucial role in driving AI development, such tasks remain largely unrecognized and undercompensated. This chapter exposes the systemic devaluation of these activities in the digital economy, by drawing on historical theories about unrecognized labor, from housework to audience labor. This approach advocates for a broader understanding of digital labor by introducing the concept of ''inconspicuous production.'' It moves beyond the traditional notion of ''invisible work'' to highlight the hidden elements inherent in all job types, especially in light of growing automation and platform-based employment.