Natã M. Barbosa

Rehumanized Crowdsourcing: A Labeling Framework Addressing Bias and Ethics in Machine Learning

The increased use of machine learning in recent years led to large volumes of data being manually labeled via crowdsourcing microtasks completed by humans. This brought about dehumanization effects, namely, when task requesters overlook the humans behind the task, leading to issues of ethics (e.g., unfair payment) and…