Uncertainty in current and future health wearables. - Bran Knowles; Alison Smith-Renner; Forough Poursabzi-Sangdeh; Di Lu; Halimat Alabi (Commun. ACM, 2018)

Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models. - Varun Kumar; Alison Smith-Renner; Leah Findlater; Kevin D. Seppi; Jordan L. Boyd-Graber (ACL (1), 2019)

Emerging Perspectives in Human-Centered Machine Learning. - Gonzalo A. Ramos; Jina Suh; Soroush Ghorashi; Christopher Meek; Richard Banks; Saleema Amershi; Rebecca Fiebrink; Alison Smith-Renner; Gagan Bansal (CHI Extended Abstracts, 2019)

ExSS: explainable smart systems 2019. - Brian Y. Lim; Advait Sarkar; Alison Smith-Renner; Simone Stumpf (IUI Companion, 2019)

Towards an Explainable Threat Detection Tool. - Alison Smith-Renner; Rob Rua; Mike Colony (IUI Workshops, 2019)

No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML. - Alison Smith-Renner; Ron Fan; Melissa Birchfield; Tongshuang Wu; Jordan L. Boyd-Graber; Daniel S. Weld; Leah Findlater (CHI, 2020)

Digging into user control: perceptions of adherence and instability in transparent models. - Alison Smith-Renner; Varun Kumar; Jordan L. Boyd-Graber; Kevin D. Seppi; Leah Findlater (IUI, 2020)

ExSS-ATEC: Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies 2020. - Alison Smith-Renner; Styliani Kleanthous; Brian Y. Lim; Tsvi Kuflik; Simone Stumpf; Jahna Otterbacher; Advait Sarkar; Casey Dugan; Avital Shulner-Tal (IUI Companion, 2020)

ExSS-ATEC: Explainable Smart Systems and Algorithmic Transparency in Emerging Technlologies 2020 (workshop abstract). - Alison Smith-Renner; Styliani Kleanthous; Brian Y. Lim; Tsvi Kuflik; Simone Stumpf; Jahna Otterbacher; Advait Sarkar; Casey Dugan; Avital Shulner-Tal (ExSS-ATEC@IUI, 2020)

TExSS: Transparency and Explanations in Smart Systems. - Alison Marie Smith-Renner; Styliani Kleanthous Loizou; Jonathan Dodge; Casey Dugan; Min Kyung Lee; Brian Y. Lim; Tsvi Kuflik; Advait Sarkar; Avital Shulner-Tal; Simone Stumpf (IUI Companion, 2021)

From "Explainable AI" to "Graspable AI". - Maliheh Ghajargar; Jeffrey Bardzell; Alison Smith-Renner; Peter Gall Krogh; Kristina Höök; David Cuartielles; Laurens Boer; Mikael Wiberg (TEI, 2021)

Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies. - Vivian Lai; Chacha Chen; Q. Vera Liao; Alison Smith-Renner; Chenhao Tan (CoRR, 2021)

Workshop on Trust and Reliance in AI-Human Teams (TRAIT). - Gagan Bansal; Alison Marie Smith-Renner; Zana Buçinca; Tongshuang Wu; Kenneth Holstein; Jessica Hullman; Simone Stumpf (CHI Extended Abstracts, 2022)

Mapping the Design Space of Human-AI Interaction in Text Summarization. - Ruijia Cheng; Alison Smith-Renner; Ke Zhang 013; Joel R. Tetreault; Alejandro Jaimes-Larrarte (NAACL-HLT, 2022)

An Exploration of Post-Editing Effectiveness in Text Summarization. - Vivian Lai; Alison Smith-Renner; Ke Zhang 013; Ruijia Cheng; Wenjuan Zhang; Joel R. Tetreault; Alejandro Jaimes-Larrarte (NAACL-HLT, 2022)

Graspable AI: Physical Forms as Explanation Modality for Explainable AI. - Maliheh Ghajargar; Jeffrey Bardzell; Alison Marie Smith-Renner; Kristina Höök; Peter Gall Krogh (TEI, 2022)

Harnessing the power of LLMs: Evaluating human-AI text co-creation through the lens of news headline generation. - Zijian Ding; Alison Smith-Renner; Wenjuan Zhang; Joel R. Tetreault; Alejandro Jaimes (EMNLP (Findings), 2023)

Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies. - Vivian Lai; Chacha Chen; Alison Smith-Renner; Q. Vera Liao; Chenhao Tan (FAccT, 2023)

Trust and Reliance in Evolving Human-AI Workflows (TREW). - Zahra Ashktorab; Gagan Bansal; Zana Buçinca; Kenneth Holstein; Jessica Hullman; Alison Marie Smith-Renner; Tongshuang Wu; Wenjuan Zhang (CHI Extended Abstracts, 2024)

Dissecting users' needs for search result explanations. - Prerna Juneja; Wenjuan Zhang; Alison Marie Smith-Renner; Hemank Lamba; Joel R. Tetreault; Alex Jaimes (CHI, 2024)