Information about us, our actions, and our preferences is created at scale through surveys or
scientific studies or as a result of our interaction with digital devices such as smartphones …

The enormous financial success of online advertising platforms is partially due to the precise
targeting features they offer. Although researchers and journalists have found many ways …

Transparency is now a fundamental principle for data processing under the General Data
Protection Regulation. We explore what this requirement entails for artificial intelligence and …

Academics, activists, and regulators are increasingly urging companies to develop and
deploy sociotechnical systems that are fair and unbiased. Achieving this goal, however, is …

Ad platforms such as Facebook, Google and LinkedIn promise value for advertisers through
their targeted advertising. However, multiple studies have shown that ad delivery on such …

Targeted advertising is meant to improve the efficiency of matching advertisers to their
customers. However, targeted advertising can also be abused by malicious advertisers to …

Accurately learning from user data while providing quantifiable privacy guarantees provides
an opportunity to build better ML models while maintaining user trust. This paper presents a …

Machine learning models benefit from large and diverse datasets. Using such datasets,
however, often requires trusting a centralized data aggregator. For sensitive applications like …

Online display advertising on websites is widely disliked by users, with many turning to ad
blockers to avoid “bad” ads. Recent evidence suggests that today's ads contain potentially …

Political campaigns are increasingly turning to targeted advertising platforms to inform and
mobilize potential voters. The appeal of these platforms stems from their promise to …