Currently, there is little agreement as to how Natural Language Generation (NLG) systems
should be evaluated, with a particularly high degree of variation in the way that human …

By CHI 2022, fifteen years will have passed since the emergence of Sustainable HCI (SHCI),
which now constitutes an important subfield of HCI. In this paper, we draw on two SHCI …

A key goal of the fair-ML community is to develop machine-learning based systems that,
once introduced into a social context, can achieve social and legal outcomes such as …

AI-based decision support tools (ADS) are increasingly used to augment human decision-
making in high-stakes, social contexts. As public sector agencies begin to adopt ADS, it is …

Various tools and practices have been developed to support practitioners in identifying,
assessing, and mitigating fairness-related harms caused by AI systems. However, prior …

Fairlearn is an open source project to help practitioners assess and improve fairness of
artificial intelligence (AI) systems. The associated Python library, also named fairlearn …

Can entrepreneurs develop a nation, serve the poor, and pursue creative freedom, all while
generating economic value? In Chasing Innovation, Lilly Irani shows the contradictions that …

Human-computer interaction has a long history of working with marginalized people. We
sought to understand how HCI researchers navigate work that engages with marginalized …

In recent years, many HCI designers have begun pursuing research agendas that address
large scale social issues. These systemic or" wicked" problems present challenges for …

In the attention economy, video apps employ design mechanisms like autoplay that exploit
psychological vulnerabilities to maximize watch time. Consequently, many people feel a lack …