1st Workshop on Fairness, Accountability, Transparency, Ethics, and Society on the Web
FATES on the Web 2019
1st Workshop on Fairness, Accountability, Transparency, Ethics, and Society on the Web
In conjunction with The Web Conference 2019
May 13-14, 2019 San Francisco, CA, USA
About the Workshop
Can we build inclusive and representative machine-learning based-algorithms? Who is responsible for harm when algorithmic decision-making results in discriminatory outcomes? To whom should algorithms be transparent? What approaches to ethics might algorithms require? The FATES on the Web 2019 (Fairness, Accountability, Transparency, Ethics, and Society on the Web) is the first edition of a workshop to bring together researchers and enthusiasts concerned with the urgent challenges concerning algorithmic fairness and accountability, transparency, and ethics on data management and social interaction on the web. It will be co-located with The Web Conference 2019 (formerly known as WWW conference), to be hosted in San Francisco, California, celebrating this year the 30th anniversary of the Web.
The workshop will promote the discussion around these critical questions and join forces towards a Web that is truly inclusive and open, a Web for Good.
Topics and Themes
The workshop encourages multidisciplinary submissions on, but not limited to:
- Fairness, accountability, transparency, and ethics in web search and (social) web mining
- Algorithmic fairness and algorithmic bias, particularly on web data
- Privacy-preserving and fairness-aware machine learning on the web
- Fairness-aware recommender systems and diversity in recommendation
- Transparency and ethics of web-scale data analysis
- Transparency, fairness, and ethics of crowdsourcing
- Ethics of opinion mining and opinion formation on the web
- Hate speech in social media
- Fake news, social bots, misinformation, and disinformation on social media
- Credibility and reputation in social media
- Ethics and legal audits on the use of sensitive data
- Algorithmic fairness and bias for smart cities
- Ethical aspects in mobility data analysis
- Models for ensuring transparency and responsibility of government data
- Transparency-aware algorithms for online civic engagement
- Social sciences including sociology and political science and social web mining
- Ethical-aware machine learning models for healthcare
All submissions will be peer reviewed and evaluated on the basis of originality, relevance, quality, and technical contribution. Submissions must present original work. Concurrent submissions are not allowed.