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
Preprint | August 2024
The Human-AI eXperiences (HAX) Team
Creating the next generation of AI-based systems and experiences
论文与出版物
论文与出版物
按年份分类的论文与出版物
-
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang (Eric) Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Ahmed Awadallah, Ryen W. White, Doug Burger, Chi Wang
COLM 2024 | August 2024
Best Paper, LLM Agents Workshop ICLR'24
Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions
Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Vera Liao, Jennifer Wortman Vaughan
ToCHI | August 2024
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
CHI 2024 | May 2024
Honorable Mention, CHI 2024
-
Axiomatic Preference Modeling for Longform Question Answering
Corby Rosset, Guoqing Zheng, Victor Dibia, Ahmed Awadallah, Paul Bennett
The 2023 Conference on Empirical Methods in Natural Language Processing | December 2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal
Proc. ACM Hum.-Comput. Interact. | October 2023, 第 7 卷
Article 370
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
LIDA: Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models
ACL 2023 Demonstrations | March 2023
-
Generation Probabilities are Not Enough: Improving Error Highlighting for AI Code Suggestions
Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Vera Liao, Jennifer Wortman Vaughan
NeurIPS Workshop on Human-Centered AI | October 2022
Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers
Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi-Sangdeh (SHE/HER), Han Liu, Saleema Amershi
ACL 2023 | October 2022
The Aleph & Other Metaphors for Image Generation
Gonzalo Ramos, Rick Barraza, Victor Dibia, Sharon Lo
NeurIPS 2022 Workshop on Human-Centered AI | October 2022
How Different Groups Prioritize Ethical Values for Responsible AI
Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu
FAccT 2022 | May 2022
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
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
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance
Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Tulio Ribeiro, Daniel S. Weld
CHI | May 2021
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork
Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Dan Weld
AAAI 2021 | February 2021
-
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
-
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance
Gagan Bansal, Besmira Nushi, Ece Kamar, Walter Lasecki, Dan Weld, Eric Horvitz
HCOMP 2019 | October 2019
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
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
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
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff
Gagan Bansal, Besmira Nushi, Ece Kamar, Dan Weld, Walter Lasecki, Eric Horvitz
AAAI Conference on Artificial Intelligence | January 2019
按研究领域分类的论文与出版物
-
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
Preprint | August 2024
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang (Eric) Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Ahmed Awadallah, Ryen W. White, Doug Burger, Chi Wang
COLM 2024 | August 2024
Best Paper, LLM Agents Workshop ICLR'24
Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions
Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Vera Liao, Jennifer Wortman Vaughan
ToCHI | August 2024
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
CHI 2024 | May 2024
Honorable Mention, CHI 2024
Axiomatic Preference Modeling for Longform Question Answering
Corby Rosset, Guoqing Zheng, Victor Dibia, Ahmed Awadallah, Paul Bennett
The 2023 Conference on Empirical Methods in Natural Language Processing | December 2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal
Proc. ACM Hum.-Comput. Interact. | October 2023, 第 7 卷
Article 370
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
LIDA: Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models
ACL 2023 Demonstrations | March 2023
Generation Probabilities are Not Enough: Improving Error Highlighting for AI Code Suggestions
Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Vera Liao, Jennifer Wortman Vaughan
NeurIPS Workshop on Human-Centered AI | October 2022
The Aleph & Other Metaphors for Image Generation
Gonzalo Ramos, Rick Barraza, Victor Dibia, Sharon Lo
NeurIPS 2022 Workshop on Human-Centered AI | October 2022
Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers
Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi-Sangdeh (SHE/HER), 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
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
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
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance
Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Tulio Ribeiro, Daniel S. Weld
CHI | May 2021
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork
Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Dan Weld
AAAI 2021 | February 2021
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
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance
Gagan Bansal, Besmira Nushi, Ece Kamar, Walter Lasecki, Dan Weld, Eric Horvitz
HCOMP 2019 | October 2019
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
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff
Gagan Bansal, Besmira Nushi, Ece Kamar, Dan Weld, Walter Lasecki, Eric Horvitz
AAAI Conference on Artificial Intelligence | January 2019
-
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
Preprint | August 2024
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang (Eric) Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Ahmed Awadallah, Ryen W. White, Doug Burger, Chi Wang
COLM 2024 | August 2024
Best Paper, LLM Agents Workshop ICLR'24
Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions
Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Vera Liao, Jennifer Wortman Vaughan
ToCHI | August 2024
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal
Proc. ACM Hum.-Comput. Interact. | October 2023, 第 7 卷
Article 370
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
LIDA: Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models
ACL 2023 Demonstrations | March 2023
Generation Probabilities are Not Enough: Improving Error Highlighting for AI Code Suggestions
Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Vera Liao, Jennifer Wortman Vaughan
NeurIPS Workshop on Human-Centered AI | October 2022
The Aleph & Other Metaphors for Image Generation
Gonzalo Ramos, Rick Barraza, Victor Dibia, Sharon Lo
NeurIPS 2022 Workshop on Human-Centered AI | October 2022
Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers
Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi-Sangdeh (SHE/HER), 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
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance
Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Tulio Ribeiro, Daniel S. Weld
CHI | May 2021
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
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance
Gagan Bansal, Besmira Nushi, Ece Kamar, Walter Lasecki, Dan Weld, Eric Horvitz
HCOMP 2019 | October 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
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff
Gagan Bansal, Besmira Nushi, Ece Kamar, Dan Weld, Walter Lasecki, Eric Horvitz
AAAI Conference on Artificial Intelligence | January 2019
-
Axiomatic Preference Modeling for Longform Question Answering
Corby Rosset, Guoqing Zheng, Victor Dibia, Ahmed Awadallah, Paul Bennett
The 2023 Conference on Empirical Methods in Natural Language Processing | December 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
-
Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers
Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi-Sangdeh (SHE/HER), Han Liu, Saleema Amershi
ACL 2023 | October 2022
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
-
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
按类型分类的论文与出版物
-
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
Preprint | August 2024
Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions
Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Vera Liao, Jennifer Wortman Vaughan
ToCHI | August 2024
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal
Proc. ACM Hum.-Comput. Interact. | October 2023, 第 7 卷
Article 370
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
-
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang (Eric) Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Ahmed Awadallah, Ryen W. White, Doug Burger, Chi Wang
COLM 2024 | August 2024
Best Paper, LLM Agents Workshop ICLR'24
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
CHI 2024 | May 2024
Honorable Mention, CHI 2024
Axiomatic Preference Modeling for Longform Question Answering
Corby Rosset, Guoqing Zheng, Victor Dibia, Ahmed Awadallah, Paul Bennett
The 2023 Conference on Empirical Methods in Natural Language Processing | December 2023
LIDA: Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models
ACL 2023 Demonstrations | March 2023
Generation Probabilities are Not Enough: Improving Error Highlighting for AI Code Suggestions
Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Vera Liao, Jennifer Wortman Vaughan
NeurIPS Workshop on Human-Centered AI | October 2022
The Aleph & Other Metaphors for Image Generation
Gonzalo Ramos, Rick Barraza, Victor Dibia, Sharon Lo
NeurIPS 2022 Workshop on Human-Centered AI | October 2022
Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers
Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi-Sangdeh (SHE/HER), 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
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
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
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance
Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Tulio Ribeiro, Daniel S. Weld
CHI | May 2021
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork
Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Dan Weld
AAAI 2021 | February 2021
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
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance
Gagan Bansal, Besmira Nushi, Ece Kamar, Walter Lasecki, Dan Weld, Eric Horvitz
HCOMP 2019 | October 2019
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
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff
Gagan Bansal, Besmira Nushi, Ece Kamar, Dan Weld, Walter Lasecki, Eric Horvitz
AAAI Conference on Artificial Intelligence | January 2019
-
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