5 papers
Towards AI Transparency and Accountability: A Global Framework for Exchanging Information on AI Systems
Warren Buckley, Adrian Byrne, Nicholas Perello +4
We propose that future AI transparency and accountability regulations are based on an open global standard for exchanging information about AI systems, which allows co-existence of…
Learning from Discriminatory Training Data
Przemyslaw A. Grabowicz, Nicholas Perello, Kenta Takatsu
Supervised learning systems are trained using historical data and, if the data was tainted by discrimination, they may unintentionally learn to discriminate against protected group…
Research Opportunities and Challenges of the EU's Digital Services Act
Francesco Pierri, Theo Araujo, Sanne Kruikemeier +5
The Digital Services Act (DSA) introduced by the European Union in 2022 offers a landmark framework for platform transparency, with Article 40 enabling vetted researchers to access…
Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
Yuhong Luo, Austin Hoag, Xintong Wang +2
Representation learning is increasingly applied to generate representations that generalize well across multiple downstream tasks. Ensuring fairness guarantees in representation le…
Identifying and Investigating Global News Coverage of Critical Events Such as Disasters and Terrorist Attacks
Erica Cai, Xi Chen, Reagan Grey Keeney +3
Comparative studies of news coverage are challenging to conduct because methods to identify news articles about the same event in different languages require expertise that is diff…