The Collaboration Gap
Tim R. Davidson, Adam Fourney, Saleema Amershi, Robert West, Eric Horvitz, Ece Kamar
November 2025
Saleema Amershi
Partner Research Manager
出版物
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Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets
Gagan Bansal, Wenyue Hua, Zezhou Huang, Adam Fourney, Amanda Swearngin, Will Epperson, Tyler Payne, Jake Hofman, Brendan Lucier, Chinmay Singh, Markus Mobius, Akshay Nambi, Archana Yadav, Kevin Gao, David Rothschild, Aleksandrs Slivkins, Daniel G. Goldstein, Hussein Mozannar, Nicole Immorlica, Maya Murad, Matthew Vogel, Subbarao Kambhampati, Eric Horvitz, Saleema Amershi
MSR-TR-2025-50 | October 2025
Microsoft による投稿
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Magentic-UI: Towards Human-in-the-loop Agentic Systems
Hussein Mozannar, Gagan Bansal, Cheng Tan, Adam Fourney, Victor Dibia, Jingya Chen, Jack Gerrits, Tyler Payne, Matheus Kunzler Maldaner, Madeleine Grunde-McLaughlin, Eric Zhu, Griffin Bassman, Jacob Alber, Peter Chang, Ricky Loynd, Friederike Niedtner, Ece Kamar, Maya Murad, Rafah Hosn, Saleema Amershi
MSR-TR-2025-40 | July 2025
Microsoft による投稿
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Interactive Debugging and Steering of Multi-Agent AI Systems
Will Epperson, Gagan Bansal, Victor Dibia, Adam Fourney (adamfo), Jack Gerrits, Erkang (Eric) Zhu, Saleema Amershi
CHI 2025 | April 2025
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Challenges in Human-Agent Communication
Gagan Bansal, Jennifer Wortman Vaughan, Saleema Amershi, Eric Horvitz, Adam Fourney, Hussein Mozannar, Victor Dibia, Daniel S. Weld
MSR-TR-2024-53 | December 2024
Microsoft による投稿
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Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks
Adam Fourney, Gagan Bansal, Hussein Mozannar, Cheng Tan, Eduardo Salinas, Erkang (Eric) Zhu, Friederike Niedtner, Grace Proebsting, Griffin Bassman, Jack Gerrits, Jacob Alber, Peter Chang, Ricky Loynd, Robert West, Victor Dibia, Ahmed Awadallah, Ece Kamar, Rafah Hosn, Saleema Amershi
MSR-TR-2024-47 | November 2024
Microsoft による投稿
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AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang (Eric) Zhu, Chi Wang, Saleema Amershi
August 2024
Preprint
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Supporting Human-AI Collaboration in Auditing LLMs with LLMs
Charvi Rastogi, Marco Tulio Ribeiro, Nicholas King, Harsha Nori, Saleema Amershi
AIES | August 2023
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Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions
John Chung, Ece Kamar, Saleema Amershi
ACL 2023 | July 2023
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Aligning Offline Metrics and Human Judgments of Value for Code Generation Models
Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi, Han Liu, Saleema Amershi
ACL 2023 | June 2023
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AHA! Facilitating AI Impact Assessment by Generating Examples of Harms
Zana Buçinca, Chau Minh Pham, Maurice Jakesch, Marco Tulio Ribeiro, Alexandra Olteanu, Saleema Amershi
June 2023
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Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers
Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi, Han Liu, Saleema Amershi
ACL 2023 | October 2022
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How Different Groups Prioritize Ethical Values for Responsible AI
Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu
FAccT 2022 | May 2022
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REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research
Jessie J. Smith, Saleema Amershi, Solon Barocas, Hanna Wallach, Jennifer Wortman Vaughan
FAccT 2022 | May 2022
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Assessing Human-AI Interaction Early through Factorial Surveys: A Study on the Guidelines for Human-AI Interaction
Tianyi Li, Mihaela Vorvoreanu, Derek DeBellis, Saleema Amershi
ACM Transactions on Computer-Human Interaction | April 2022
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HINT: Integration Testing for AI-based Features with Humans in the Loop
Quanze Chen, Tobias Schnabel, Besmira Nushi, Saleema Amershi
International Conference on Intelligent User Interfaces | March 2022
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Planning for Natural Language Failures with the AI Playbook
Matthew K. Hong, Adam Fourney, Derek DeBellis, Saleema Amershi
2021 CHI Conference on Human Factors in Computing Systems | May 2021
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“Who doesn’t like dinosaurs?” Finding and Eliciting Richer Preferences for Recommendation
Tobias Schnabel, Gonzalo Ramos, Saleema Amershi
14th ACM Conference on Recommender Systems | September 2020
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The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
Tobias Schnabel, Saleema Amershi, Paul Bennett, Peter Bailey, Thorsten Joachims
Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
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Software Engineering for Machine Learning: A Case Study
Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLIne, Harald Gall, Ece Kamar, Nachi Nagappan, Besmira Nushi, Tom Zimmermann
International Conference on Software Engineering (ICSE 2019) - Software Engineering in Practice track | May 2019
ICSE 2019 Best Paper Award
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People and AI See Things Different Implications of Mismatched Perception on HCI for AI Systems
Saleema Amershi, Ece Kamar, Emre Kiciman
Workshop on Human-Centered Machine Learning Perspectives at CHI 2019 | May 2019
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Guidelines for Human-AI Interaction
Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, Eric Horvitz
CHI 2019 | May 2019
CHI 2019 Honorable Mention Award
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Sketching NLP: A Case Study of Exploring the Right Things To Design with Language Intelligence
Qian Yang, Justin Cranshaw, Saleema Amershi, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
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Will You Accept an Imperfect AI? Exploring Designs for Adjusting End-user Expectations of AI Systems
Rafal Kocielnik, Saleema Amershi, Paul Bennett
CHI 2019 | May 2019
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Machine Teaching: A New Paradigm for Building Machine Learning Systems
Patrice Simard, Saleema Amershi, Max Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Chris Meek, Gonzalo Ramos, Jina Suh, Johan Verwey, Mo Wang, John Wernsing
MSR-TR-2017-26 | July 2017
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Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets
Joseph Chee Chang, Saleema Amershi, Ece Kamar
Proceedings of the Conference on Human Factors in Computing Systems (CHI 2017) | May 2017
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A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs
Kristina Toutanova, Chris Brockett, Ke M. Tran, Saleema Amershi
EMNLP | November 2016
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Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers
Donghao Ren, Saleema Amershi, Bongshin Lee, Jina Suh, Jason Williams
IEEE TVCG, VAST | August 2016
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The Label Complexity of Mixed-Initiative Classiï¬er Training
Jina Suh, Xiaojin Zhu, Saleema Amershi
Proceedings of the 33rd International Conference on Machine Learning | June 2016
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Active Learning with Oracle Epiphany
Tzu-Kuo Huang, Lihong Li, Ara Vartanian, Saleema Amershi, Xiaojin Zhu
30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain | May 2016
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FeatureInsight: Visual Support for Error-Driven Feature Ideation in Text Classification
Michael Brooks, Saleema Amershi, Bongshin Lee, Steven Drucker, Ashish Kapoor, Patrice Simard
IEEE VAST | October 2015
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ModelTracker: Redesigning Performance Analysis Tools for Machine Learning
Saleema Amershi, Max Chickering, Steven Drucker, Bongshin Lee, Patrice Simard, Jina Suh
Proceedings of the Conference on Human Factors in Computing Systems (CHI 2015) | April 2015
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Power to the People: The Role of Humans in Interactive Machine Learning
Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza
AI Magazine | December 2014
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ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems
Patrice Simard, Max Chickering, Apama Lakshmiratan, Denis Charles, Leon Bottou, Carlos Garcia Jurado Suarez, David Grangier, Saleema Amershi, Johan Verwey, Jina Suh
MSR-TR-2014-128 | September 2014
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Structured Labeling for Facilitating Concept Evolution in Machine Learning
Todd Kulesza, Saleema Amershi, Rich Caruana, Danyel Fisher, Denis Charles
Proceedings of the Conference on Human Factors in Computing Systems (CHI 2014) | May 2014
Best Paper Award
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LiveAction: Automating Web Task Model Generation
Saleema Amershi, Jalal Mahmud, Jeffrey Nichols, Tessa Lau, German Attanasio Ruiz
ACM Trans. Interact. Intell. Syst | October 2013, pp. 23
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ReGroup: Interactive Machine Learning for On-Demand Group Creation in Social Networks
Saleema Amershi, James Fogarty, Daniel Weld
Proceeding CHI '12 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems | May 2012
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Designing for Effective End-User Interaction with Machine Learning
October 2011
October 2011
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Effective End-User Interaction with Machine Learning
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
AAAI (Nectar Track) | August 2011
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Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage
Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence | July 2011
ISBN: 978-1-57735-515-1
Invited from CHI 2011 to Best Papers Track
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CueT: Human-Guided Fast and Accurate Network Alarm Triage
Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian
CHI | May 2011
Best Paper Honorable Mention
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Comparing Web Interaction Models in Developing Regions
Jay Chen, Aditya Dhananjay, Saleema Amershi, Lakshmi Subramanian
December 2010
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Examining Multiple Potential Models in End-User Interactive Concept Learning
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
CHI 2010: Machine Learning and Web Interactions | April 2010
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Multiple Mouse Text Entry for Single-Display Groupware
Saleema Amershi, Meredith Ringel Morris, Neema Moraveji, Ravin Balakrishnan, Kentaro Toyama
CSCW | February 2010
Best Paper Honorable Mention
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Overview-Based Example Selection in End-User Interactive Concept Learning
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
UIST '09 Proceedings of the 22nd annual ACM symposium on User interface software and technology | October 2009
ISBN: 978-1-60558-745-5
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Overview-Based Examples Selection in Mixed-Initiative Interactive Concept Learning
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
UIST | October 2009
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Combining Unsupervised and Supervised Classification to Build User Models for Exploratory Learning Environments
Saleema Amershi, CRISTINA CONATI
Journal of Educational Data Mining | September 2009
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Designing for End-User Interactive Concept Learning in CueFlik
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
(2009) Neural Information Processing Systems (NIPS) Workshop on Analysis and Design of Algorithms for Interactive Machine Learning | August 2009
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Amplifying Community Content Creation with Mixed-Initiative Information Extraction
Raphael Hoffmann, Saleema Amershi, Kayur Patel, Fei Wu, James Fogarty, Daniel S. Weld
In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2009) | April 2009
Best Paper Honorable Mention
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CoSearch: A System for Co-located Collaborative Web Search
Saleema Amershi, Meredith Ringel Morris
Proceedings of CHI 2008 | April 2008
ISBN: 978-1-60558-011-1
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Shared Sensemaking: Enhancing the Value of Collaborative Web Search Tools
Meredith Ringel Morris, Saleema Amershi
MSR-TR-2008-205 | April 2008
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Intelligence in Wikipedia
Daniel S. Weld, Fei Wu, Eytan Adar, Saleema Amershi, James Fogarty, Raphael Hoffmann, Kayur Patel, Michael Skinner
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 08) Senior Papers Track | January 2008
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Pedagogy and usability in interactive algorithm visualizations: Designing and evaluating CIspace
Saleema Amershi, Giuseppe Carenini, Cristina Conati, Alan K. Mackworth, David Poole
Designing and Evaluating CIspace. Interacting with Computers - The Interdisciplinary Journal of Human-Computer Interaction | September 2007
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Using Eye-tracking Data for High-Level User Modeling in Adaptive Interfaces
Cristina Conati, Christina Merten, Saleema Amershi, Kasia Muldner
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 07) Nectar Track | July 2007
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Unsupervised and Supervised Machine Learning in User Modeling for Intelligent Learning Environments
Saleema Amershi, Cristina Conati
In Proceedings of the ACM/SIGCHI Conference on Intelligent User Interfaces (IUI 2007) | January 2007
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Automatic Recognition of Learner Types in Exploratory Learning Environments
Saleema Amershi, Cristina Conati
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems | June 2006
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Using Feature Selection and Unsupervised Clustering to Identify Affective Expressions in Educational Games
Saleema Amershi, Cristina Conati, Heather Maclaren
In Proceedings of The Intelligent Tutoring Systems Workshop on Motivational and Affective Issues in ITS (ITS 2006) | January 2006
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Designing CIspace: Pedagogy and Usability in a Learning Environment for AI
Saleema Amershi, N. Arksey, G. Carenini, C. Conati, A. Mackworth, H. Maclaren, D. Poole
In Proceedings of the ACM/SIGCSE Conference on Innovation and Technology in Computer Science Education ITiCSE '05 | June 2005
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The Collaboration Gap
Tim R. Davidson, Adam Fourney, Saleema Amershi, Robert West, Eric Horvitz, Ece Kamar
November 2025
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Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets
Gagan Bansal, Wenyue Hua, Zezhou Huang, Adam Fourney, Amanda Swearngin, Will Epperson, Tyler Payne, Jake Hofman, Brendan Lucier, Chinmay Singh, Markus Mobius, Akshay Nambi, Archana Yadav, Kevin Gao, David Rothschild, Aleksandrs Slivkins, Daniel G. Goldstein, Hussein Mozannar, Nicole Immorlica, Maya Murad, Matthew Vogel, Subbarao Kambhampati, Eric Horvitz, Saleema Amershi
MSR-TR-2025-50 | October 2025
Microsoft による投稿
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Magentic-UI: Towards Human-in-the-loop Agentic Systems
Hussein Mozannar, Gagan Bansal, Cheng Tan, Adam Fourney, Victor Dibia, Jingya Chen, Jack Gerrits, Tyler Payne, Matheus Kunzler Maldaner, Madeleine Grunde-McLaughlin, Eric Zhu, Griffin Bassman, Jacob Alber, Peter Chang, Ricky Loynd, Friederike Niedtner, Ece Kamar, Maya Murad, Rafah Hosn, Saleema Amershi
MSR-TR-2025-40 | July 2025
Microsoft による投稿
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Interactive Debugging and Steering of Multi-Agent AI Systems
Will Epperson, Gagan Bansal, Victor Dibia, Adam Fourney (adamfo), Jack Gerrits, Erkang (Eric) Zhu, Saleema Amershi
CHI 2025 | April 2025
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Challenges in Human-Agent Communication
Gagan Bansal, Jennifer Wortman Vaughan, Saleema Amershi, Eric Horvitz, Adam Fourney, Hussein Mozannar, Victor Dibia, Daniel S. Weld
MSR-TR-2024-53 | December 2024
Microsoft による投稿
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Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks
Adam Fourney, Gagan Bansal, Hussein Mozannar, Cheng Tan, Eduardo Salinas, Erkang (Eric) Zhu, Friederike Niedtner, Grace Proebsting, Griffin Bassman, Jack Gerrits, Jacob Alber, Peter Chang, Ricky Loynd, Robert West, Victor Dibia, Ahmed Awadallah, Ece Kamar, Rafah Hosn, Saleema Amershi
MSR-TR-2024-47 | November 2024
Microsoft による投稿
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AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang (Eric) Zhu, Chi Wang, Saleema Amershi
August 2024
Preprint
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Supporting Human-AI Collaboration in Auditing LLMs with LLMs
Charvi Rastogi, Marco Tulio Ribeiro, Nicholas King, Harsha Nori, Saleema Amershi
AIES | August 2023
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Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions
John Chung, Ece Kamar, Saleema Amershi
ACL 2023 | July 2023
-
Aligning Offline Metrics and Human Judgments of Value for Code Generation Models
Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi, Han Liu, Saleema Amershi
ACL 2023 | June 2023
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AHA! Facilitating AI Impact Assessment by Generating Examples of Harms
Zana Buçinca, Chau Minh Pham, Maurice Jakesch, Marco Tulio Ribeiro, Alexandra Olteanu, Saleema Amershi
June 2023
-
Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers
Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi, Han Liu, Saleema Amershi
ACL 2023 | October 2022
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How Different Groups Prioritize Ethical Values for Responsible AI
Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu
FAccT 2022 | May 2022
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REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research
Jessie J. Smith, Saleema Amershi, Solon Barocas, Hanna Wallach, Jennifer Wortman Vaughan
FAccT 2022 | May 2022
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Assessing Human-AI Interaction Early through Factorial Surveys: A Study on the Guidelines for Human-AI Interaction
Tianyi Li, Mihaela Vorvoreanu, Derek DeBellis, Saleema Amershi
ACM Transactions on Computer-Human Interaction | April 2022
-
HINT: Integration Testing for AI-based Features with Humans in the Loop
Quanze Chen, Tobias Schnabel, Besmira Nushi, Saleema Amershi
International Conference on Intelligent User Interfaces | March 2022
-
Planning for Natural Language Failures with the AI Playbook
Matthew K. Hong, Adam Fourney, Derek DeBellis, Saleema Amershi
2021 CHI Conference on Human Factors in Computing Systems | May 2021
-
“Who doesn’t like dinosaurs?” Finding and Eliciting Richer Preferences for Recommendation
Tobias Schnabel, Gonzalo Ramos, Saleema Amershi
14th ACM Conference on Recommender Systems | September 2020
-
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
Tobias Schnabel, Saleema Amershi, Paul Bennett, Peter Bailey, Thorsten Joachims
Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
-
Software Engineering for Machine Learning: A Case Study
Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLIne, Harald Gall, Ece Kamar, Nachi Nagappan, Besmira Nushi, Tom Zimmermann
International Conference on Software Engineering (ICSE 2019) - Software Engineering in Practice track | May 2019
ICSE 2019 Best Paper Award
-
People and AI See Things Different Implications of Mismatched Perception on HCI for AI Systems
Saleema Amershi, Ece Kamar, Emre Kiciman
Workshop on Human-Centered Machine Learning Perspectives at CHI 2019 | May 2019
-
Will You Accept an Imperfect AI? Exploring Designs for Adjusting End-user Expectations of AI Systems
Rafal Kocielnik, Saleema Amershi, Paul Bennett
CHI 2019 | May 2019
-
Guidelines for Human-AI Interaction
Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, Eric Horvitz
CHI 2019 | May 2019
CHI 2019 Honorable Mention Award
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Machine Teaching: A New Paradigm for Building Machine Learning Systems
Patrice Simard, Saleema Amershi, Max Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Chris Meek, Gonzalo Ramos, Jina Suh, Johan Verwey, Mo Wang, John Wernsing
MSR-TR-2017-26 | July 2017
-
Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets
Joseph Chee Chang, Saleema Amershi, Ece Kamar
Proceedings of the Conference on Human Factors in Computing Systems (CHI 2017) | May 2017
-
A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs
Kristina Toutanova, Chris Brockett, Ke M. Tran, Saleema Amershi
EMNLP | November 2016
-
Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers
Donghao Ren, Saleema Amershi, Bongshin Lee, Jina Suh, Jason Williams
IEEE TVCG, VAST | August 2016
-
The Label Complexity of Mixed-Initiative Classiï¬er Training
Jina Suh, Xiaojin Zhu, Saleema Amershi
Proceedings of the 33rd International Conference on Machine Learning | June 2016
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Active Learning with Oracle Epiphany
Tzu-Kuo Huang, Lihong Li, Ara Vartanian, Saleema Amershi, Xiaojin Zhu
30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain | May 2016
-
FeatureInsight: Visual Support for Error-Driven Feature Ideation in Text Classification
Michael Brooks, Saleema Amershi, Bongshin Lee, Steven Drucker, Ashish Kapoor, Patrice Simard
IEEE VAST | October 2015
-
ModelTracker: Redesigning Performance Analysis Tools for Machine Learning
Saleema Amershi, Max Chickering, Steven Drucker, Bongshin Lee, Patrice Simard, Jina Suh
Proceedings of the Conference on Human Factors in Computing Systems (CHI 2015) | April 2015
-
Power to the People: The Role of Humans in Interactive Machine Learning
Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza
AI Magazine | December 2014
-
ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems
Patrice Simard, Max Chickering, Apama Lakshmiratan, Denis Charles, Leon Bottou, Carlos Garcia Jurado Suarez, David Grangier, Saleema Amershi, Johan Verwey, Jina Suh
MSR-TR-2014-128 | September 2014
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Structured Labeling for Facilitating Concept Evolution in Machine Learning
Todd Kulesza, Saleema Amershi, Rich Caruana, Danyel Fisher, Denis Charles
Proceedings of the Conference on Human Factors in Computing Systems (CHI 2014) | May 2014
Best Paper Award
-
Effective End-User Interaction with Machine Learning
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
AAAI (Nectar Track) | August 2011
-
Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage
Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence | July 2011
ISBN: 978-1-57735-515-1
Invited from CHI 2011 to Best Papers Track
-
CueT: Human-Guided Fast and Accurate Network Alarm Triage
Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian
CHI | May 2011
Best Paper Honorable Mention
-
Examining Multiple Potential Models in End-User Interactive Concept Learning
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
CHI 2010: Machine Learning and Web Interactions | April 2010
-
Overview-Based Examples Selection in Mixed-Initiative Interactive Concept Learning
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
UIST | October 2009
-
Intelligence in Wikipedia
Daniel S. Weld, Fei Wu, Eytan Adar, Saleema Amershi, James Fogarty, Raphael Hoffmann, Kayur Patel, Michael Skinner
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 08) Senior Papers Track | January 2008
-
Pedagogy and usability in interactive algorithm visualizations: Designing and evaluating CIspace
Saleema Amershi, Giuseppe Carenini, Cristina Conati, Alan K. Mackworth, David Poole
Designing and Evaluating CIspace. Interacting with Computers - The Interdisciplinary Journal of Human-Computer Interaction | September 2007
-
Using Eye-tracking Data for High-Level User Modeling in Adaptive Interfaces
Cristina Conati, Christina Merten, Saleema Amershi, Kasia Muldner
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 07) Nectar Track | July 2007
-
Using Feature Selection and Unsupervised Clustering to Identify Affective Expressions in Educational Games
Saleema Amershi, Cristina Conati, Heather Maclaren
In Proceedings of The Intelligent Tutoring Systems Workshop on Motivational and Affective Issues in ITS (ITS 2006) | January 2006
-
Designing CIspace: Pedagogy and Usability in a Learning Environment for AI
Saleema Amershi, N. Arksey, G. Carenini, C. Conati, A. Mackworth, H. Maclaren, D. Poole
In Proceedings of the ACM/SIGCSE Conference on Innovation and Technology in Computer Science Education ITiCSE '05 | June 2005
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Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets
Gagan Bansal, Wenyue Hua, Zezhou Huang, Adam Fourney, Amanda Swearngin, Will Epperson, Tyler Payne, Jake Hofman, Brendan Lucier, Chinmay Singh, Markus Mobius, Akshay Nambi, Archana Yadav, Kevin Gao, David Rothschild, Aleksandrs Slivkins, Daniel G. Goldstein, Hussein Mozannar, Nicole Immorlica, Maya Murad, Matthew Vogel, Subbarao Kambhampati, Eric Horvitz, Saleema Amershi
MSR-TR-2025-50 | October 2025
Microsoft による投稿
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Interactive Debugging and Steering of Multi-Agent AI Systems
Will Epperson, Gagan Bansal, Victor Dibia, Adam Fourney (adamfo), Jack Gerrits, Erkang (Eric) Zhu, Saleema Amershi
CHI 2025 | April 2025
-
Challenges in Human-Agent Communication
Gagan Bansal, Jennifer Wortman Vaughan, Saleema Amershi, Eric Horvitz, Adam Fourney, Hussein Mozannar, Victor Dibia, Daniel S. Weld
MSR-TR-2024-53 | December 2024
Microsoft による投稿
-
AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang (Eric) Zhu, Chi Wang, Saleema Amershi
August 2024
Preprint
-
Supporting Human-AI Collaboration in Auditing LLMs with LLMs
Charvi Rastogi, Marco Tulio Ribeiro, Nicholas King, Harsha Nori, Saleema Amershi
AIES | August 2023
-
Aligning Offline Metrics and Human Judgments of Value for Code Generation Models
Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi, Han Liu, Saleema Amershi
ACL 2023 | June 2023
-
AHA! Facilitating AI Impact Assessment by Generating Examples of Harms
Zana Buçinca, Chau Minh Pham, Maurice Jakesch, Marco Tulio Ribeiro, Alexandra Olteanu, Saleema Amershi
June 2023
-
Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers
Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi, Han Liu, Saleema Amershi
ACL 2023 | October 2022
-
How Different Groups Prioritize Ethical Values for Responsible AI
Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu
FAccT 2022 | May 2022
-
Assessing Human-AI Interaction Early through Factorial Surveys: A Study on the Guidelines for Human-AI Interaction
Tianyi Li, Mihaela Vorvoreanu, Derek DeBellis, Saleema Amershi
ACM Transactions on Computer-Human Interaction | April 2022
-
HINT: Integration Testing for AI-based Features with Humans in the Loop
Quanze Chen, Tobias Schnabel, Besmira Nushi, Saleema Amershi
International Conference on Intelligent User Interfaces | March 2022
-
Planning for Natural Language Failures with the AI Playbook
Matthew K. Hong, Adam Fourney, Derek DeBellis, Saleema Amershi
2021 CHI Conference on Human Factors in Computing Systems | May 2021
-
“Who doesn’t like dinosaurs?” Finding and Eliciting Richer Preferences for Recommendation
Tobias Schnabel, Gonzalo Ramos, Saleema Amershi
14th ACM Conference on Recommender Systems | September 2020
-
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
Tobias Schnabel, Saleema Amershi, Paul Bennett, Peter Bailey, Thorsten Joachims
Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
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Will You Accept an Imperfect AI? Exploring Designs for Adjusting End-user Expectations of AI Systems
Rafal Kocielnik, Saleema Amershi, Paul Bennett
CHI 2019 | May 2019
-
Guidelines for Human-AI Interaction
Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, Eric Horvitz
CHI 2019 | May 2019
CHI 2019 Honorable Mention Award
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Machine Teaching: A New Paradigm for Building Machine Learning Systems
Patrice Simard, Saleema Amershi, Max Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Chris Meek, Gonzalo Ramos, Jina Suh, Johan Verwey, Mo Wang, John Wernsing
MSR-TR-2017-26 | July 2017
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Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets
Joseph Chee Chang, Saleema Amershi, Ece Kamar
Proceedings of the Conference on Human Factors in Computing Systems (CHI 2017) | May 2017
-
A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs
Kristina Toutanova, Chris Brockett, Ke M. Tran, Saleema Amershi
EMNLP | November 2016
-
The Label Complexity of Mixed-Initiative Classiï¬er Training
Jina Suh, Xiaojin Zhu, Saleema Amershi
Proceedings of the 33rd International Conference on Machine Learning | June 2016
-
ModelTracker: Redesigning Performance Analysis Tools for Machine Learning
Saleema Amershi, Max Chickering, Steven Drucker, Bongshin Lee, Patrice Simard, Jina Suh
Proceedings of the Conference on Human Factors in Computing Systems (CHI 2015) | April 2015
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Power to the People: The Role of Humans in Interactive Machine Learning
Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza
AI Magazine | December 2014
-
ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems
Patrice Simard, Max Chickering, Apama Lakshmiratan, Denis Charles, Leon Bottou, Carlos Garcia Jurado Suarez, David Grangier, Saleema Amershi, Johan Verwey, Jina Suh
MSR-TR-2014-128 | September 2014
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Structured Labeling for Facilitating Concept Evolution in Machine Learning
Todd Kulesza, Saleema Amershi, Rich Caruana, Danyel Fisher, Denis Charles
Proceedings of the Conference on Human Factors in Computing Systems (CHI 2014) | May 2014
Best Paper Award
-
LiveAction: Automating Web Task Model Generation
Saleema Amershi, Jalal Mahmud, Jeffrey Nichols, Tessa Lau, German Attanasio Ruiz
ACM Trans. Interact. Intell. Syst | October 2013, pp. 23
-
ReGroup: Interactive Machine Learning for On-Demand Group Creation in Social Networks
Saleema Amershi, James Fogarty, Daniel Weld
Proceeding CHI '12 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems | May 2012
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Designing for Effective End-User Interaction with Machine Learning
October 2011
October 2011
-
Effective End-User Interaction with Machine Learning
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
AAAI (Nectar Track) | August 2011
-
Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage
Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence | July 2011
ISBN: 978-1-57735-515-1
Invited from CHI 2011 to Best Papers Track
-
CueT: Human-Guided Fast and Accurate Network Alarm Triage
Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian
CHI | May 2011
Best Paper Honorable Mention
-
Comparing Web Interaction Models in Developing Regions
Jay Chen, Aditya Dhananjay, Saleema Amershi, Lakshmi Subramanian
December 2010
-
Examining Multiple Potential Models in End-User Interactive Concept Learning
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
CHI 2010: Machine Learning and Web Interactions | April 2010
-
Multiple Mouse Text Entry for Single-Display Groupware
Saleema Amershi, Meredith Ringel Morris, Neema Moraveji, Ravin Balakrishnan, Kentaro Toyama
CSCW | February 2010
Best Paper Honorable Mention
-
Overview-Based Example Selection in End-User Interactive Concept Learning
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
UIST '09 Proceedings of the 22nd annual ACM symposium on User interface software and technology | October 2009
ISBN: 978-1-60558-745-5
-
Overview-Based Examples Selection in Mixed-Initiative Interactive Concept Learning
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
UIST | October 2009
-
Combining Unsupervised and Supervised Classification to Build User Models for Exploratory Learning Environments
Saleema Amershi, CRISTINA CONATI
Journal of Educational Data Mining | September 2009
-
Designing for End-User Interactive Concept Learning in CueFlik
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
(2009) Neural Information Processing Systems (NIPS) Workshop on Analysis and Design of Algorithms for Interactive Machine Learning | August 2009
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Amplifying Community Content Creation with Mixed-Initiative Information Extraction
Raphael Hoffmann, Saleema Amershi, Kayur Patel, Fei Wu, James Fogarty, Daniel S. Weld
In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2009) | April 2009
Best Paper Honorable Mention
-
CoSearch: A System for Co-located Collaborative Web Search
Saleema Amershi, Meredith Ringel Morris
Proceedings of CHI 2008 | April 2008
ISBN: 978-1-60558-011-1
-
Using Eye-tracking Data for High-Level User Modeling in Adaptive Interfaces
Cristina Conati, Christina Merten, Saleema Amershi, Kasia Muldner
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 07) Nectar Track | July 2007
-
Unsupervised and Supervised Machine Learning in User Modeling for Intelligent Learning Environments
Saleema Amershi, Cristina Conati
In Proceedings of the ACM/SIGCHI Conference on Intelligent User Interfaces (IUI 2007) | January 2007
-
Automatic Recognition of Learner Types in Exploratory Learning Environments
Saleema Amershi, Cristina Conati
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems | June 2006
-
Using Feature Selection and Unsupervised Clustering to Identify Affective Expressions in Educational Games
Saleema Amershi, Cristina Conati, Heather Maclaren
In Proceedings of The Intelligent Tutoring Systems Workshop on Motivational and Affective Issues in ITS (ITS 2006) | January 2006
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Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions
John Chung, Ece Kamar, Saleema Amershi
ACL 2023 | July 2023
-
Sketching NLP: A Case Study of Exploring the Right Things To Design with Language Intelligence
Qian Yang, Justin Cranshaw, Saleema Amershi, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
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-
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Aligning Offline Metrics and Human Judgments of Value for Code Generation Models
Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi, Han Liu, Saleema Amershi
ACL 2023 | June 2023
-
Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers
Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi, Han Liu, Saleema Amershi
ACL 2023 | October 2022
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Software Engineering for Machine Learning: A Case Study
Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLIne, Harald Gall, Ece Kamar, Nachi Nagappan, Besmira Nushi, Tom Zimmermann
International Conference on Software Engineering (ICSE 2019) - Software Engineering in Practice track | May 2019
ICSE 2019 Best Paper Award
-
-
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The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
Tobias Schnabel, Saleema Amershi, Paul Bennett, Peter Bailey, Thorsten Joachims
Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
-
Will You Accept an Imperfect AI? Exploring Designs for Adjusting End-user Expectations of AI Systems
Rafal Kocielnik, Saleema Amershi, Paul Bennett
CHI 2019 | May 2019
-
CoSearch: A System for Co-located Collaborative Web Search
Saleema Amershi, Meredith Ringel Morris
Proceedings of CHI 2008 | April 2008
ISBN: 978-1-60558-011-1
-
Shared Sensemaking: Enhancing the Value of Collaborative Web Search Tools
Meredith Ringel Morris, Saleema Amershi
MSR-TR-2008-205 | April 2008
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-
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Pedagogy and usability in interactive algorithm visualizations: Designing and evaluating CIspace
Saleema Amershi, Giuseppe Carenini, Cristina Conati, Alan K. Mackworth, David Poole
Designing and Evaluating CIspace. Interacting with Computers - The Interdisciplinary Journal of Human-Computer Interaction | September 2007
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Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers
Donghao Ren, Saleema Amershi, Bongshin Lee, Jina Suh, Jason Williams
IEEE TVCG, VAST | August 2016
-
FeatureInsight: Visual Support for Error-Driven Feature Ideation in Text Classification
Michael Brooks, Saleema Amershi, Bongshin Lee, Steven Drucker, Ashish Kapoor, Patrice Simard
IEEE VAST | October 2015
-
Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage
Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence | July 2011
ISBN: 978-1-57735-515-1
Invited from CHI 2011 to Best Papers Track
-
CueT: Human-Guided Fast and Accurate Network Alarm Triage
Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian
CHI | May 2011
Best Paper Honorable Mention
-
Examining Multiple Potential Models in End-User Interactive Concept Learning
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
CHI 2010: Machine Learning and Web Interactions | April 2010
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-
-
Multiple Mouse Text Entry for Single-Display Groupware
Saleema Amershi, Meredith Ringel Morris, Neema Moraveji, Ravin Balakrishnan, Kentaro Toyama
CSCW | February 2010
Best Paper Honorable Mention
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The Collaboration Gap
Tim R. Davidson, Adam Fourney, Saleema Amershi, Robert West, Eric Horvitz, Ece Kamar
November 2025
-
AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang (Eric) Zhu, Chi Wang, Saleema Amershi
August 2024
Preprint
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Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets
Gagan Bansal, Wenyue Hua, Zezhou Huang, Adam Fourney, Amanda Swearngin, Will Epperson, Tyler Payne, Jake Hofman, Brendan Lucier, Chinmay Singh, Markus Mobius, Akshay Nambi, Archana Yadav, Kevin Gao, David Rothschild, Aleksandrs Slivkins, Daniel G. Goldstein, Hussein Mozannar, Nicole Immorlica, Maya Murad, Matthew Vogel, Subbarao Kambhampati, Eric Horvitz, Saleema Amershi
MSR-TR-2025-50 | October 2025
Microsoft による投稿
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Magentic-UI: Towards Human-in-the-loop Agentic Systems
Hussein Mozannar, Gagan Bansal, Cheng Tan, Adam Fourney, Victor Dibia, Jingya Chen, Jack Gerrits, Tyler Payne, Matheus Kunzler Maldaner, Madeleine Grunde-McLaughlin, Eric Zhu, Griffin Bassman, Jacob Alber, Peter Chang, Ricky Loynd, Friederike Niedtner, Ece Kamar, Maya Murad, Rafah Hosn, Saleema Amershi
MSR-TR-2025-40 | July 2025
Microsoft による投稿
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Challenges in Human-Agent Communication
Gagan Bansal, Jennifer Wortman Vaughan, Saleema Amershi, Eric Horvitz, Adam Fourney, Hussein Mozannar, Victor Dibia, Daniel S. Weld
MSR-TR-2024-53 | December 2024
Microsoft による投稿
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Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks
Adam Fourney, Gagan Bansal, Hussein Mozannar, Cheng Tan, Eduardo Salinas, Erkang (Eric) Zhu, Friederike Niedtner, Grace Proebsting, Griffin Bassman, Jack Gerrits, Jacob Alber, Peter Chang, Ricky Loynd, Robert West, Victor Dibia, Ahmed Awadallah, Ece Kamar, Rafah Hosn, Saleema Amershi
MSR-TR-2024-47 | November 2024
Microsoft による投稿
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Machine Teaching: A New Paradigm for Building Machine Learning Systems
Patrice Simard, Saleema Amershi, Max Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Chris Meek, Gonzalo Ramos, Jina Suh, Johan Verwey, Mo Wang, John Wernsing
MSR-TR-2017-26 | July 2017
-
ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems
Patrice Simard, Max Chickering, Apama Lakshmiratan, Denis Charles, Leon Bottou, Carlos Garcia Jurado Suarez, David Grangier, Saleema Amershi, Johan Verwey, Jina Suh
MSR-TR-2014-128 | September 2014
-
Shared Sensemaking: Enhancing the Value of Collaborative Web Search Tools
Meredith Ringel Morris, Saleema Amershi
MSR-TR-2008-205 | April 2008
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-
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Interactive Debugging and Steering of Multi-Agent AI Systems
Will Epperson, Gagan Bansal, Victor Dibia, Adam Fourney (adamfo), Jack Gerrits, Erkang (Eric) Zhu, Saleema Amershi
CHI 2025 | April 2025
-
Supporting Human-AI Collaboration in Auditing LLMs with LLMs
Charvi Rastogi, Marco Tulio Ribeiro, Nicholas King, Harsha Nori, Saleema Amershi
AIES | August 2023
-
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions
John Chung, Ece Kamar, Saleema Amershi
ACL 2023 | July 2023
-
Aligning Offline Metrics and Human Judgments of Value for Code Generation Models
Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi, Han Liu, Saleema Amershi
ACL 2023 | June 2023
-
Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers
Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi, Han Liu, Saleema Amershi
ACL 2023 | October 2022
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How Different Groups Prioritize Ethical Values for Responsible AI
Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu
FAccT 2022 | May 2022
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REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research
Jessie J. Smith, Saleema Amershi, Solon Barocas, Hanna Wallach, Jennifer Wortman Vaughan
FAccT 2022 | May 2022
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HINT: Integration Testing for AI-based Features with Humans in the Loop
Quanze Chen, Tobias Schnabel, Besmira Nushi, Saleema Amershi
International Conference on Intelligent User Interfaces | March 2022
-
Planning for Natural Language Failures with the AI Playbook
Matthew K. Hong, Adam Fourney, Derek DeBellis, Saleema Amershi
2021 CHI Conference on Human Factors in Computing Systems | May 2021
-
“Who doesn’t like dinosaurs?” Finding and Eliciting Richer Preferences for Recommendation
Tobias Schnabel, Gonzalo Ramos, Saleema Amershi
14th ACM Conference on Recommender Systems | September 2020
-
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
Tobias Schnabel, Saleema Amershi, Paul Bennett, Peter Bailey, Thorsten Joachims
Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
-
Software Engineering for Machine Learning: A Case Study
Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLIne, Harald Gall, Ece Kamar, Nachi Nagappan, Besmira Nushi, Tom Zimmermann
International Conference on Software Engineering (ICSE 2019) - Software Engineering in Practice track | May 2019
ICSE 2019 Best Paper Award
-
People and AI See Things Different Implications of Mismatched Perception on HCI for AI Systems
Saleema Amershi, Ece Kamar, Emre Kiciman
Workshop on Human-Centered Machine Learning Perspectives at CHI 2019 | May 2019
-
Sketching NLP: A Case Study of Exploring the Right Things To Design with Language Intelligence
Qian Yang, Justin Cranshaw, Saleema Amershi, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
-
Will You Accept an Imperfect AI? Exploring Designs for Adjusting End-user Expectations of AI Systems
Rafal Kocielnik, Saleema Amershi, Paul Bennett
CHI 2019 | May 2019
-
Guidelines for Human-AI Interaction
Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, Eric Horvitz
CHI 2019 | May 2019
CHI 2019 Honorable Mention Award
-
Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets
Joseph Chee Chang, Saleema Amershi, Ece Kamar
Proceedings of the Conference on Human Factors in Computing Systems (CHI 2017) | May 2017
-
A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs
Kristina Toutanova, Chris Brockett, Ke M. Tran, Saleema Amershi
EMNLP | November 2016
-
Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers
Donghao Ren, Saleema Amershi, Bongshin Lee, Jina Suh, Jason Williams
IEEE TVCG, VAST | August 2016
-
The Label Complexity of Mixed-Initiative Classiï¬er Training
Jina Suh, Xiaojin Zhu, Saleema Amershi
Proceedings of the 33rd International Conference on Machine Learning | June 2016
-
Active Learning with Oracle Epiphany
Tzu-Kuo Huang, Lihong Li, Ara Vartanian, Saleema Amershi, Xiaojin Zhu
30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain | May 2016
-
FeatureInsight: Visual Support for Error-Driven Feature Ideation in Text Classification
Michael Brooks, Saleema Amershi, Bongshin Lee, Steven Drucker, Ashish Kapoor, Patrice Simard
IEEE VAST | October 2015
-
ModelTracker: Redesigning Performance Analysis Tools for Machine Learning
Saleema Amershi, Max Chickering, Steven Drucker, Bongshin Lee, Patrice Simard, Jina Suh
Proceedings of the Conference on Human Factors in Computing Systems (CHI 2015) | April 2015
-
Structured Labeling for Facilitating Concept Evolution in Machine Learning
Todd Kulesza, Saleema Amershi, Rich Caruana, Danyel Fisher, Denis Charles
Proceedings of the Conference on Human Factors in Computing Systems (CHI 2014) | May 2014
Best Paper Award
-
ReGroup: Interactive Machine Learning for On-Demand Group Creation in Social Networks
Saleema Amershi, James Fogarty, Daniel Weld
Proceeding CHI '12 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems | May 2012
-
Effective End-User Interaction with Machine Learning
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
AAAI (Nectar Track) | August 2011
-
Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage
Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence | July 2011
ISBN: 978-1-57735-515-1
Invited from CHI 2011 to Best Papers Track
-
CueT: Human-Guided Fast and Accurate Network Alarm Triage
Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian
CHI | May 2011
Best Paper Honorable Mention
-
Comparing Web Interaction Models in Developing Regions
Jay Chen, Aditya Dhananjay, Saleema Amershi, Lakshmi Subramanian
December 2010
-
Examining Multiple Potential Models in End-User Interactive Concept Learning
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
CHI 2010: Machine Learning and Web Interactions | April 2010
-
Multiple Mouse Text Entry for Single-Display Groupware
Saleema Amershi, Meredith Ringel Morris, Neema Moraveji, Ravin Balakrishnan, Kentaro Toyama
CSCW | February 2010
Best Paper Honorable Mention
-
Overview-Based Example Selection in End-User Interactive Concept Learning
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
UIST '09 Proceedings of the 22nd annual ACM symposium on User interface software and technology | October 2009
ISBN: 978-1-60558-745-5
-
Overview-Based Examples Selection in Mixed-Initiative Interactive Concept Learning
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
UIST | October 2009
-
Designing for End-User Interactive Concept Learning in CueFlik
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney Tan
(2009) Neural Information Processing Systems (NIPS) Workshop on Analysis and Design of Algorithms for Interactive Machine Learning | August 2009
-
Amplifying Community Content Creation with Mixed-Initiative Information Extraction
Raphael Hoffmann, Saleema Amershi, Kayur Patel, Fei Wu, James Fogarty, Daniel S. Weld
In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2009) | April 2009
Best Paper Honorable Mention
-
CoSearch: A System for Co-located Collaborative Web Search
Saleema Amershi, Meredith Ringel Morris
Proceedings of CHI 2008 | April 2008
ISBN: 978-1-60558-011-1
-
Intelligence in Wikipedia
Daniel S. Weld, Fei Wu, Eytan Adar, Saleema Amershi, James Fogarty, Raphael Hoffmann, Kayur Patel, Michael Skinner
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 08) Senior Papers Track | January 2008
-
Using Eye-tracking Data for High-Level User Modeling in Adaptive Interfaces
Cristina Conati, Christina Merten, Saleema Amershi, Kasia Muldner
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 07) Nectar Track | July 2007
-
Unsupervised and Supervised Machine Learning in User Modeling for Intelligent Learning Environments
Saleema Amershi, Cristina Conati
In Proceedings of the ACM/SIGCHI Conference on Intelligent User Interfaces (IUI 2007) | January 2007
-
Automatic Recognition of Learner Types in Exploratory Learning Environments
Saleema Amershi, Cristina Conati
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems | June 2006
-
Using Feature Selection and Unsupervised Clustering to Identify Affective Expressions in Educational Games
Saleema Amershi, Cristina Conati, Heather Maclaren
In Proceedings of The Intelligent Tutoring Systems Workshop on Motivational and Affective Issues in ITS (ITS 2006) | January 2006
-
Designing CIspace: Pedagogy and Usability in a Learning Environment for AI
Saleema Amershi, N. Arksey, G. Carenini, C. Conati, A. Mackworth, H. Maclaren, D. Poole
In Proceedings of the ACM/SIGCSE Conference on Innovation and Technology in Computer Science Education ITiCSE '05 | June 2005
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AHA! Facilitating AI Impact Assessment by Generating Examples of Harms
Zana Buçinca, Chau Minh Pham, Maurice Jakesch, Marco Tulio Ribeiro, Alexandra Olteanu, Saleema Amershi
June 2023
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Assessing Human-AI Interaction Early through Factorial Surveys: A Study on the Guidelines for Human-AI Interaction
Tianyi Li, Mihaela Vorvoreanu, Derek DeBellis, Saleema Amershi
ACM Transactions on Computer-Human Interaction | April 2022
-
Power to the People: The Role of Humans in Interactive Machine Learning
Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza
AI Magazine | December 2014
-
LiveAction: Automating Web Task Model Generation
Saleema Amershi, Jalal Mahmud, Jeffrey Nichols, Tessa Lau, German Attanasio Ruiz
ACM Trans. Interact. Intell. Syst | October 2013, pp. 23
-
Combining Unsupervised and Supervised Classification to Build User Models for Exploratory Learning Environments
Saleema Amershi, CRISTINA CONATI
Journal of Educational Data Mining | September 2009
-
Pedagogy and usability in interactive algorithm visualizations: Designing and evaluating CIspace
Saleema Amershi, Giuseppe Carenini, Cristina Conati, Alan K. Mackworth, David Poole
Designing and Evaluating CIspace. Interacting with Computers - The Interdisciplinary Journal of Human-Computer Interaction | September 2007
-
-
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Designing for Effective End-User Interaction with Machine Learning
October 2011
October 2011
-