When Machine Learning technologies are used in contexts that affect citizens, companies as
well as researchers need to be confident that there will not be any unexpected social …

Graph mining algorithms have been playing a significant role in myriad fields over the years.
However, despite their promising performance on various graph analytical tasks, most of …

Coreference resolution is an important task for natural language understanding, and the
resolution of ambiguous pronouns a longstanding challenge. Nonetheless, existing corpora …

Automatic Gender Recognition (AGR) refers to various computational methods that aim to
identify an individual's gender by extracting and analyzing features from images, video …

There has been increasing concern within the machine learning community and beyond that
Artificial Intelligence (AI) faces a bias and discrimination crisis which needs AI fairness with …

The AI Ethics community faces an imperative to empower stakeholders and impacted
community members so that they can scrutinize and influence the design, development, and …

With the increased attention on thermal imagery for Covid-19 screening, the public sector
may believe there are new opportunities to exploit thermal as a modality for computer vision …

There has been concern within the artificial intelligence (AI) community and the broader
society regarding the potential lack of fairness of AI-based decision-making systems …

The potential lack of fairness in the outputs of machine learning algorithms has recently
gained attention both within the research community as well as in society more broadly …

Fairness in machine learning (ML) has gained attention within the ML community and the
broader society beyond with many fairness definitions and algorithms being proposed …