Call for Papers

The International Workshop on Fair and Interpretable Learning Algorithms (FILA 2020) will provide a venue for academic researchers, industry professionals, and government partners to come together, present and discuss research results, use cases, innovative ideas, challenges and opportunities that arise from designing machine learning algorithms that are fair and interpretable. Since the task is inherently multi-disciplinary, the workshop will attempt to foster collaboration between different research communities working on problems ranging from Algorithms, Theoretical Computer Science, Network Science to Artificial Intelligence, Machine Learning, Data Science, and Social Choice, Game Theory, Computational Social Science. This year, our focus is specifically on fairness. We encourage submissions spanning the full range of theoretical and applied works. Topics of interest include, but are not limited to:

• Biases in popularly used machine learning datasets
• Fairness audits on the use of sensitive data
• Biases in news and social media
• Investigation of black-box systems, particularly web platforms and algorithms
• Biases in machine learning from complex data (e.g., networks, time series)
• Biases in information retrieval and natural language processing
• Other novel application domains such as economics, healthcare, climate studies
• Machine learning in the context of developing countries and other under-represented communities

• The statistical and computational complexity of fair machine learning
• Online and stochastic optimization methods for fair machine learning
• Fair machine learning through Bayesian methods
• Achieving fairness through computational social choice and game theory
• Fairness, accountability, transparency and ethics in search
• Fairness and diversity in recommender systems
• Fairness-aware algorithms for social impact
• Evaluation methods for fair and interpretable machine learning
• Fairness beyond supervised learning, e.g. clustering, reinforcement learning
• Interpretability of neural network and deep learning algorithms
• Accountability in human-in-the-loop machine learning

Important Dates

Paper Guidelines

• Paper Submission Guidelines

  We welcome submissions related to the above research areas. Submissions may include late-breaking results and work in progress. We also solicit vision or position papers. As IEEE BigData 2020 will no longer take place physically in Atlanta, Georgia, US, and will instead take place virtually, the relevant workshop submissions will be accepted for video presentations in the virtual presentation session.

• Submission Site: Cyberchair's FILA submission portal

  Kindly note that we will distinguish short vs full paper based on their length. For non-archival paper submissions, kindly use title note to indicate the type of submission. We will also double check with the authors of the accepted papers at the time of camera ready submission.

• Archival and Non-archival

  FILA 2020 offers authors the choice of archival and non-archival paper submissions. Archival papers will appear in the published proceedings of the workshop, if they are accepted. Whereas, accepted non-archival papers will only appear in the workshop website and not in the proceedings. Authors of non-archival papers are free to also submit their work for publication elsewhere. Note that all submissions will be judged by the same quality standards, regardless of whether the authors choose the archival or non-archival option. Authors of all accepted papers must register and present their work at the workshop, regardless of whether their paper is archival or non-archival. For non-archival paper submissions, kindly use title note to indicate the type of submission.

• Long and Short Papers

  Paper authors may choose between two formats: Long (10 pages) and Short (4 pages), in the IEEE Computer Society proceedings manuscript format. Both formats will be rigorously peer-reviewed. We will distinguish long vs. short paper based on their length.

• Writing Guidelines

  All submissions must follow the IEEE Computer Society proceedings manuscript format. You are strongly encouraged to print and double-check your PDF file before its submission, especially if your paper contains Asian/European language symbols (such as Chinese/Korean characters or English letters with European fonts). Complete papers are required; abstracts and incomplete papers will not be reviewed. FILA follows a single-blind review process. The formatting guidelines are available at: https://www.ieee.org/conferences/publishing/templates.html

Keynote Speaker

Organization