Despite being responsible for state-of-the-art results in several computer vision and natural
language processing tasks, neural networks have faced harsh criticism due to some of their …

With the rapid adoption of online shopping, academic research in the eCommerce domain
has gained traction. However, significant research challenges remain, spanning from classic …

Understanding the landscape of potential harms from algorithmic systems enables
practitioners to better anticipate consequences of the systems they build. It also supports the …

In social media effects research, the role of specific social media content is understudied, in
part attributable to the fact that communication science previously lacked methods to access …

Large and ever-evolving technology companies continue to invest more time and resources
to incorporate responsible Artificial Intelligence (AI) into production-ready systems to …

A growing body of literature has proposed formal approaches to audit algorithmic systems
for biased and harmful behaviors. While formal auditing approaches have been greatly …

Recent work in HCI suggests that users can be powerful in surfacing harmful algorithmic
behaviors that formal auditing approaches fail to detect. However, it is not well understood …

An emerging body of research indicates that ineffective cross-functional collaboration–the
interdisciplinary work done by industry practitioners across roles–represents a major barrier …

Recent awareness of the impacts of bias in AI algorithms raises the risk for companies to
deploy such algorithms, especially because the algorithms may not be explainable in the …

In a world of daily emerging scientific inquisition and discovery, the prolific launch of
machine learning across industries comes to little surprise for those familiar with the …