Guidelines for human-AI interaction S Amershi, D Weld, M Vorvoreanu, A Fourney, B Nushi, P Collisson, ... Proceedings of the 2019 chi conference on human factors in computing systems …, 2019 | 1393 | 2019 |
Software engineering for machine learning: A case study S Amershi, A Begel, C Bird, R DeLine, H Gall, E Kamar, N Nagappan, ... 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 1050 | 2019 |
Does the whole exceed its parts? the effect of ai explanations on complementary team performance G Bansal, T Wu, J Zhou, R Fok, B Nushi, E Kamar, MT Ribeiro, D Weld Proceedings of the 2021 CHI conference on human factors in computing systems …, 2021 | 492 | 2021 |
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance G Bansal, B Nushi, E Kamar, WS Lasecki, DSWE Horvitz | 404 | 2019 |
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff G Bansal, B Nushi, E Kamar, DSWWS Lasecki, E Horvitz AAAI, 2019 | 309 | 2019 |
Is the most accurate ai the best teammate? optimizing ai for teamwork G Bansal, B Nushi, E Kamar, E Horvitz, DS Weld Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11405 …, 2021 | 150 | 2021 |
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure B Nushi, E Kamar, E Horvitz AAAI Conference on Human Computation and Crowdsourcing, 2018 | 148 | 2018 |
On human intellect and machine failures: Troubleshooting integrative machine learning systems B Nushi, E Kamar, E Horvitz, D Kossmann Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 98 | 2017 |
Uncertain time-series similarity: Return to the basics M Dallachiesa, B Nushi, K Mirylenka, T Palpanas arXiv preprint arXiv:1208.1931, 2012 | 72 | 2012 |
Understanding failures of deep networks via robust feature extraction S Singla, B Nushi, S Shah, E Kamar, E Horvitz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 71 | 2021 |
Squinting at vqa models: Introspecting vqa models with sub-questions RR Selvaraju, P Tendulkar, D Parikh, E Horvitz, MT Ribeiro, B Nushi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 66 | 2020 |
What you see is what you get? the impact of representation criteria on human bias in hiring A Peng, B Nushi, E Kıcıman, K Inkpen, S Suri, E Kamar Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 7 …, 2019 | 62 | 2019 |
Who goes first? Influences of human-AI workflow on decision making in clinical imaging R Fogliato, S Chappidi, M Lungren, P Fisher, D Wilson, M Fitzke, ... Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 51 | 2022 |
An empirical analysis of backward compatibility in machine learning systems M Srivastava, B Nushi, E Kamar, S Shah, E Horvitz Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 48 | 2020 |
Benchmarking spatial relationships in text-to-image generation T Gokhale, H Palangi, B Nushi, V Vineet, E Horvitz, E Kamar, C Baral, ... arXiv preprint arXiv:2212.10015, 2022 | 46 | 2022 |
Characterizing the Internet Research Agency’s social media operations during the 2016 US presidential election using linguistic analyses RL Boyd, A Spangher, A Fourney, B Nushi, G Ranade, J Pennebaker, ... PsyArXiv, 2018 | 45 | 2018 |
Social Biases through the Text-to-Image Generation Lens R Naik, B Nushi AAAI/ACM Conference on AI, Ethics, and Society, 2023 | 42 | 2023 |
Overcoming blind spots in the real world: Leveraging complementary abilities for joint execution R Ramakrishnan, E Kamar, B Nushi, D Dey, J Shah, E Horvitz Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6137-6145, 2019 | 33 | 2019 |
Analysis of Strategy and Spread of Russia-sponsored Content in the US in 2017 A Spangher, G Ranade, B Nushi, A Fourney, E Horvitz arXiv preprint arXiv:1810.10033, 2018 | 32 | 2018 |
Investigations of Performance and Bias in Human-AI Teamwork in Hiring A Peng, B Nushi, E Kiciman, K Inkpen, E Kamar AAAI 2022, 2022 | 30 | 2022 |