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research-article
Introduction to the TiiS Special Column
Article No.: 25, Page 1https://doi.org/10.1145/3427592
research-article
Bridging the Gap Between Ethics and Practice: Guidelines for Reliable, Safe, and Trustworthy Human-centered AI Systems
Article No.: 26, Pages 1–31https://doi.org/10.1145/3419764

This article attempts to bridge the gap between widely discussed ethical principles of Human-centered AI (HCAI) and practical steps for effective governance. Since HCAI systems are developed and implemented in multiple organizational structures, I ...

SECTION: Special Issue on IUI 2019 Highlights
research-article
A Method and Analysis to Elicit User-Reported Problems in Intelligent Everyday Applications
Article No.: 28, Pages 1–27https://doi.org/10.1145/3370927

The complex nature of intelligent systems motivates work on supporting users during interaction, for example, through explanations. However, as of yet, there is little empirical evidence in regard to specific problems users face when applying such ...

research-article
Open Access
Progressive Disclosure: When, Why, and How Do Users Want Algorithmic Transparency Information?
Article No.: 29, Pages 1–32https://doi.org/10.1145/3374218

It is essential that users understand how algorithmic decisions are made, as we increasingly delegate important decisions to intelligent systems. Prior work has often taken a techno-centric approach, focusing on new computational techniques to support ...

research-article
Algorithmic and HCI Aspects for Explaining Recommendations of Artistic Images
Article No.: 30, Pages 1–31https://doi.org/10.1145/3369396

Explaining suggestions made by recommendation systems is key to make users trust and accept these systems. This is specially critical in areas such as art image recommendation. Traditionally, artworks are sold in galleries where people can see them ...

research-article
Open Access
Generating and Understanding Personalized Explanations in Hybrid Recommender Systems
Article No.: 31, Pages 1–40https://doi.org/10.1145/3365843

Recommender systems are ubiquitous and shape the way users access information and make decisions. As these systems become more complex, there is a growing need for transparency and interpretability. In this article, we study the problem of generating ...

research-article
Open Access
Smell Pittsburgh: Engaging Community Citizen Science for Air Quality
Article No.: 32, Pages 1–49https://doi.org/10.1145/3369397

Urban air pollution has been linked to various human health concerns, including cardiopulmonary diseases. Communities who suffer from poor air quality often rely on experts to identify pollution sources due to the lack of accessible tools. Taking this ...

research-article
Photo Sleuth: Identifying Historical Portraits with Face Recognition and Crowdsourced Human Expertise
Article No.: 33, Pages 1–36https://doi.org/10.1145/3365842

Identifying people in historical photographs is important for preserving material culture, correcting the historical record, and creating economic value, but it is also a complex and challenging task. In this article, we focus on identifying portraits ...

research-article
Affect-Aware Word Clouds
Article No.: 34, Pages 1–25https://doi.org/10.1145/3370928

Word clouds are widely used for non-analytic purposes, such as introducing a topic to students, or creating a gift with personally meaningful text. Surveys show that users prefer tools that yield word clouds with a stronger emotional impact. Fonts and ...

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