Iterative Design of an Interface for Easy 3-D Direct Manipulation. - Stephanie Houde (CHI, 1992)

Working towards rich and flexible file representations. - Stephanie Houde; Gitta Salomon (INTERCHI Adjunct Proceedings, 1993)

In search of design principles for programming environments. - Stephanie Houde; Royston Sellman (CHI Conference Companion, 1994)

Creative prototyping tools: what interaction designers really need to produce advanced user interface concepts. - Manfred Tscheligi; Stephanie Houde; Raghu Kolli; Aaron Marcus; Michael J. Muller; Kevin E. Mullet (CHI 95 Conference Companion, 1995)

User Interfaces Challenges of Media Design (Panel Abstract). - Penny Bauersfeld; Michael Arent; Avril Hodges; Stephanie Houde; Elisabeth Waymire (ACM Multimedia, 1995)

Developing a community intranet: social practices and technology interventions. - Rachel K. E. Bellamy; Eileen Genevro; Stephanie Houde; Lori Leahy; Gary Young (CHI Conference Summary, 1998)

In search of design principles for tools and practices to support communication within a learning community. - Stephanie Houde; Rachel K. E. Bellamy; Laureen Leahy (ACM SIGCHI Bull., 1998)

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias. - Rachel K. E. Bellamy; Kuntal Dey; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Kalapriya Kannan; Pranay Lohia; Jacquelyn Martino; Sameep Mehta; Aleksandra Mojsilovic; Seema Nagar; Karthikeyan Natesan Ramamurthy; et al. (CoRR, 2018)

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (CoRR, 2019)

FactSheets: Increasing trust in AI services through supplier's declarations of conformity. - Matthew Arnold; Rachel K. E. Bellamy; Michael Hind; Stephanie Houde; Sameep Mehta; Aleksandra Mojsilovic; Ravi Nair; Karthikeyan Natesan Ramamurthy; Alexandra Olteanu; David Piorkowski; Darrell Reimer; John T. Richards; et al. (IBM J. Res. Dev., 2019)

AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias. - Rachel K. E. Bellamy; Kuntal Dey; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Kalapriya Kannan; Pranay Lohia; Jacquelyn Martino; Sameep Mehta; Aleksandra Mojsilovic; Seema Nagar; Karthikeyan Natesan Ramamurthy; et al. (IBM J. Res. Dev., 2019)

Think Your Artificial Intelligence Software Is Fair? Think Again. - Rachel K. E. Bellamy; Kuntal Dey; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Kalapriya Kannan; Pranay Lohia; Sameep Mehta; Aleksandra Mojsilovic; Seema Nagar; Karthikeyan Natesan Ramamurthy; John T. Richards; et al. (IEEE Softw., 2019)

Experiences with Improving the Transparency of AI Models and Services. - Michael Hind; Stephanie Houde; Jacquelyn Martino; Aleksandra Mojsilovic; David Piorkowski; John T. Richards; Kush R. Varshney (CHI Extended Abstracts, 2020)

AI explainability 360: hands-on tutorial. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (FAT*, 2020)

Business (mis)Use Cases of Generative AI. - Stephanie Houde; Vera Liao; Jacquelyn Martino; Michael J. Muller; David Piorkowski; John T. Richards; Justin D. Weisz; Yunfeng Zhang (HAI-GEN+user2agent@IUI, 2020)

A Methodology for Creating AI FactSheets. - John T. Richards; David Piorkowski; Michael Hind; Stephanie Houde; Aleksandra Mojsilovic (CoRR, 2020)

Towards evaluating and eliciting high-quality documentation for intelligent systems. - David Piorkowski; Daniel González; John T. Richards; Stephanie Houde (CoRR, 2020)

Quality Estimation & Interpretability for Code Translation. - Mayank Agarwal; Kartik Talamadupula; Stephanie Houde; Fernando Martinez 001; Michael J. Muller; John T. Richards; Steven I. Ross; Justin D. Weisz (CoRR, 2020)

AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (J. Mach. Learn. Res., 2020)

AI Explainability 360 Toolkit. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (COMAD/CODS, 2021)

How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks. - Michael J. Muller; April Yi Wang; Steven I. Ross; Justin D. Weisz; Mayank Agarwal; Kartik Talamadupula; Stephanie Houde; Fernando Martinez 001; John T. Richards; Jaimie Drozdal; Xuye Liu; David Piorkowski; et al. (IUI Workshops, 2021)

Perfection Not Required? Human-AI Partnerships in Code Translation. - Justin D. Weisz; Michael J. Muller; Stephanie Houde; John T. Richards; Steven I. Ross; Fernando Martinez 001; Mayank Agarwal; Kartik Talamadupula (IUI, 2021)

Using Document Similarity Methods to create Parallel Datasets for Code Translation. - Mayank Agarwal; Kartik Talamadupula; Fernando Martinez 001; Stephanie Houde; Michael J. Muller; John T. Richards; Steven I. Ross; Justin D. Weisz (CoRR, 2021)

A Human-Centered Methodology for Creating AI FactSheets. - John T. Richards; David Piorkowski; Michael Hind; Stephanie Houde; Aleksandra Mojsilovic; Kush R. Varshney (IEEE Data Eng. Bull., 2021)

AI Explainability 360: Impact and Design. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (AAAI, 2022)

Opportunies for Generative AI in UX Modernization 81-91. - Stephanie Houde; Steven I. Ross; Michael J. Muller; Mayank Agarwal; Fernando Martinez 001; John T. Richards; Kartik Talamadupula; Justin D. Weisz (IUI Workshops, 2022)

Drinking Chai with Your (AI) Programming Partner: A Design Fiction about Generative AI for Software Engineering 107-122. - Michael J. Muller; Steven I. Ross; Stephanie Houde; Mayank Agarwal; Fernando Martinez 001; John T. Richards; Kartik Talamadupula; Justin D. Weisz (IUI Workshops, 2022)

Investigating Explainability of Generative AI for Code through Scenario-based Design. - Jiao Sun; Q. Vera Liao; Michael J. Muller; Mayank Agarwal; Stephanie Houde; Kartik Talamadupula; Justin D. Weisz (IUI, 2022)

Better Together? An Evaluation of AI-Supported Code Translation. - Justin D. Weisz; Michael J. Muller; Steven I. Ross; Fernando Martinez 001; Stephanie Houde; Mayank Agarwal; Kartik Talamadupula; John T. Richards (IUI, 2022)

Understanding How Task Dimensions Impact Automation Preferences with a Conversational Task Assistant. - Jessica He; David Piorkowski; Michael J. Muller; Kristina Brimijoin; Stephanie Houde; Justin D. Weisz (AutomationXP@CHI, 2023)

Rebalancing Worker Initiative and AI Initiative in Future Work: Four Task Dimensions. - Jessica He; David Piorkowski; Michael J. Muller; Kristina Brimijoin; Stephanie Houde; Justin D. Weisz (CHIWORK, 2023)

The Programmer's Assistant User Experience. - Steven I. Ross; Stephanie Houde; Fernando Martinez 001; Michael J. Muller; Justin D. Weisz (IUI Companion, 2023)

The Programmer's Assistant: Conversational Interaction with a Large Language Model for Software Development. - Steven I. Ross; Fernando Martinez 001; Stephanie Houde; Michael J. Muller; Justin D. Weisz (IUI, 2023)

A Case Study in Engineering a Conversational Programming Assistant's Persona 121-129. - Steven I. Ross; Michael J. Muller; Fernando Martinez 001; Stephanie Houde; Justin D. Weisz (IUI Workshops, 2023)

Toward General Design Principles for Generative AI Applications 130-144. - Justin D. Weisz; Michael J. Muller; Jessica He; Stephanie Houde (IUI Workshops, 2023)

Toward General Design Principles for Generative AI Applications. - Justin D. Weisz; Michael J. Muller; Jessica He; Stephanie Houde (CoRR, 2023)

A Case Study in Engineering a Conversational Programming Assistant's Persona. - Steven I. Ross; Michael J. Muller; Fernando Martinez 001; Stephanie Houde; Justin D. Weisz (CoRR, 2023)

AI and the Future of Collaborative Work: Group Ideation with an LLM in a Virtual Canvas. - Jessica He; Stephanie Houde; Gabriel Enrique Gonzalez; Darío Andrés Silva Moran; Steven I. Ross; Michael J. Muller; Justin D. Weisz (CHIWORK, 2024)

Drinking Chai with Your (AI) Programming Partner: Value Tensions in the Tokenization of Future Human-AI Collaborative Work. - Michael J. Muller; Justin D. Weisz; Stephanie Houde; Steven I. Ross (CHIWORK, 2024)

Say What? Real-time Linguistic Guidance Supports Novices in Writing Utterances for Conversational Agent Training. - Rachel Ostrand; Kristina Brimijoin; David Piorkowski; Jessica He; Erica Albert; Stephanie Houde (CUI, 2024)

Towards Interactive Guidance for Writing Training Utterances for Conversational Agents. - David Piorkowski; Rachel Ostrand; Kristina Brimijoin; Jessica He; Erica Albert; Stephanie Houde (CUI, 2024)

Group Brainstorming with an AI Agent: Creating and Selecting Ideas. - Michael J. Muller; Stephanie Houde; Gabriel Enrique Gonzalez; Kristina Brimijoin; Steven I. Ross; Darío Andrés Silva Moran; Justin D. Weisz (ICCC, 2024)

Collaborative Canvas: A Tool for Exploring LLM Use in Group Ideation Tasks. - Gabriel Enrique Gonzalez; Darío Andrés Silva Moran; Stephanie Houde; Jessica He; Steven I. Ross; Michael J. Muller; Siya Kunde; Justin D. Weisz (IUI Workshops, 2024)

Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation. - Jessica He; Stephanie Houde; Justin D. Weisz (CHI, 2025)

Controlling AI Agent Participation in Group Conversations: A Human-Centered Approach. - Stephanie Houde; Kristina Brimijoin; Michael J. Muller; Steven I. Ross; Darío Andrés Silva Moran; Gabriel Enrique Gonzalez; Siya Kunde; Morgan A. Foreman; Justin D. Weisz (IUI, 2025)

Designing an Agentic AI Assistant for Chemical Discovery. - Siya Kunde; Stephanie Houde; Rachel K. E. Bellamy (IUI Workshops, 2025)

ACE: Moving toward Co-Investigation with the Agentic Code Explorer. - Darío Andrés Silva Moran; Kristina Brimijoin; Gabriel Enrique Gonzalez; Stephanie Houde; Michael J. Muller; Michelle Brachman; Justin D. Weisz (IUI Workshops, 2025)

Towards Personalized and Contextualized Code Explanations. - Michelle Brachman; Arielle Goldberg; Andrew Anderson 002; Stephanie Houde; Michael J. Muller; Justin D. Weisz (UMAP (Adjunct Publication), 2025)