As Artificial Intelligence (AI) continues to advance rapidly, it becomes increasingly important
to consider AI's ethical and societal implications. In this paper, we present a bottom-up …

Responsible design of AI systems is a shared goal across HCI and AI communities.
Responsible AI (RAI) tools have been developed to support practitioners to identify, assess …

Security & Privacy (S&P) software is created to have positive impacts on people: to protect
them from surveillance and attacks, enhance their privacy, and keep them safe. Despite …

Value Sensitive Design (VSD) is a framework for integrating human values throughout the
technology design process. In parallel, Responsible AI (RAI) advocates for the development …

This paper introduces a novel approach to interactive robots by leveraging the form-factor of
cards to create thin robots equipped with vibrational capabilities for locomotion and haptic …

Though ML practitioners increasingly employ various Responsible ML (RML) strategies,
their methodological approach in practice is still unclear. In particular, the constraints …

Prior work has developed responsible AI (RAI) toolkits and studied how AI practitioners use
such resources when practicing RAI. However, AI practitioners may not have the relevant …

Professional designers often struggle to apply insights from HCI research in their work. To
make academic knowledge more accessible to practitioners, HCI researchers have created …

Though ML practitioners increasingly employ various Responsible ML (RML) strategies,
their methodological approach in practice is still unclear. In particular, the constraints …

Researchers urge technology practitioners such as data scientists to consider the impacts
and ethical implications of algorithmic decisions. However, unlike programming, statistics …