This paper strives to measure apparent skin color in computer vision, beyond a
unidimensional scale on skin tone. In their seminal paper Gender Shades, Buolamwini and …

Face recognition systems are widely deployed in safety-critical applications, including law
enforcement, yet they exhibit bias across a range of socio-demographic dimensions, such as …

Facial analysis systems have been deployed by large companies and critiqued by scholars
and activists for the past decade. Many existing algorithmic audits examine the performance …

Exploiting social media to spread hate has tremendously increased over the years. Lately,
multi-modal hateful content such as memes has drawn relatively more traction than uni …

AI models have become extremely popular and accessible to the general public. However,
they are continuously under the scanner due to their demonstrable biases toward various …

Developed from a graduate course this book examines some of the deep issues that have
become very relevant due to the increasing use of AI in recent times. The book discusses …

AI based Face Recognition Systems (FRSs) are now widely distributed and deployed as
MLaaS solutions all over the world, moreso since the COVID-19 pandemic for tasks ranging …

E-commerce platforms support the needs and livelihoods of their two most important
stakeholders--customers and producers/sellers. Multiple algorithmic systems …

Interleaving sponsored results (advertisements) amongst organic results on search engine
result pages (SERP) has become a common practice across multiple digital platforms …

Conventional belief in the fairness community is that one should first find the highest
performing model for a given problem and then apply a bias mitigation strategy. One starts …