Dr. Styliani Kleanthous from Cyprus Center for algorithmic transparency is presenting, Fairness in Algorithmic and Crowd-Generated Descriptions of People Images at the First symposium on Biases in Human Computation and Crowdsourcing that take place at 21st – 22nd of October 2019. Human Computation and Crowdsourcing have become ubiquitous in the world of algorithm augmentation and data management. However, humans have various cognitive biases that influence the way they make decisions, remember information, and interact with machines. It is thus important to identify human biases and analyze their effect on complex hybrid systems. On the other hand, the potential interaction with a large pool of human contributors gives the opportunity to detect and handle biases in existing data and systems.
The goal of this symposium is to analyze both existing human biases in hybrid systems, and methods to manage bias via crowdsourcing and human computation. We will discuss different types of biases, measures, and methods to track bias, as well as methodologies to prevent and solve bias.