FATES on the WEB

Workshop Series on Fairness, Accountability, Transparency, Ethics, and Society on the Web

The series of FATES workshops promote the discussion around these critical questions and join forces towards a Web that is truly inclusive, transparent and open.
Data is learned from people. Personal data collected from social media and mobile devices, often considered sensitive information, has been extensively used by systems for a number of purposes, including user behavior forecasting, content recommendation and fraud detection. User behavior, in turn, is changing based on the algorithms that users are exposed to. Recent studies have revealed that many machine-learning based systems exhibit biases, including racial and gender bias. This scenario raises new challenges concerning algorithmic fairness and accountability, transparency of machine-learning models, the importance of developing better AI systems on the Web and tools to deal with privacy matters, and ethics on modeling and analyzing online communities, such as social media interactions, mobility data, political engagement networks, healthcare communities, and so on.
The goal of this workshop is to gather researchers and developers from academia, industry, and civil society to present and debate topics of the importance of developing better AI systems on the Web and tools to deal with privacy matters. To achieve this, we will seek contributions that describe research initiatives, projects, results, and design techniques and experiments that are being developed to deal with fairness and accountability, transparency, and ethics on AI and privacy. In this sense, we will encourage submissions in various degrees of progress, such as new results, visions, techniques, innovative application papers, and progress reports.
In this way, we will stimulate an interdisciplinary debate about emerging topics on the Web, creating an open forum for Web researchers, professionals, and industrial practitioners to share evolving knowledge and report ongoing work.

FATES 2020

FATES past editions

FATES 2019

Web site graphics

Marcos Arrais, Federal University of Rio de Janeiro, Brazil