| Combining human and machine intelligence in large-scale crowdsourcing. E Kamar, S Hacker, E Horvitz AAMAS 12, 467-474, 2012 | 390 | 2012 |
| Machine behaviour I Rahwan, M Cebrian, N Obradovich, J Bongard, JF Bonnefon, C Breazeal, ... Nature 568 (7753), 477-486, 2019 | 229 | 2019 |
| Artificial Intelligence and Life in 2030. One hundred year study on artificial intelligence: Report of the 2015-2016 Study Panel P Stone, R Brooks, E Brynjolfsson, R Calo, O Etzioni, G Hager, ... Stanford University, Stanford, CA, http://ai100. stanford. edu/2016-report …, 2016 | 195 | 2016 |
| Artificial intelligence and life in 2030 P Stone, R Brooks, E Brynjolfsson, R Calo, O Etzioni, G Hager, ... One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 …, 2016 | 181 | 2016 |
| Collaboration and shared plans in the open world: Studies of ridesharing E Kamar, E Horvitz Twenty-First International Joint Conference on Artificial Intelligence, 2009 | 170 | 2009 |
| Interpretable & explorable approximations of black box models H Lakkaraju, E Kamar, R Caruana, J Leskovec arXiv preprint arXiv:1707.01154, 2017 | 138 | 2017 |
| 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 | 136 | 2019 |
| Volunteering versus work for pay: Incentives and tradeoffs in crowdsourcing A Mao, E Kamar, Y Chen, E Horvitz, M Schwamb, C Lintott, A Smith Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 (1), 2013 | 126 | 2013 |
| Identifying unknown unknowns in the open world: Representations and policies for guided exploration H Lakkaraju, E Kamar, R Caruana, E Horvitz Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 106 | 2017 |
| Revolt: Collaborative crowdsourcing for labeling machine learning datasets JC Chang, S Amershi, E Kamar Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017 | 100 | 2017 |
| Interactive teaching strategies for agent training O Amir, E Kamar, A Kolobov, B Grosz | 75 | 2016 |
| Incentives for truthful reporting in crowdsourcing. E Kamar, E Horvitz AAMAS 12, 1329-1330, 2012 | 73 | 2012 |
| Why stop now? predicting worker engagement in online crowdsourcing A Mao, E Kamar, E Horvitz Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 (1), 2013 | 71 | 2013 |
| Directions in Hybrid Intelligence: Complementing AI Systems with Human Intelligence. E Kamar IJCAI, 4070-4073, 2016 | 69 | 2016 |
| Faithful and customizable explanations of black box models H Lakkaraju, E Kamar, R Caruana, J Leskovec Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 131-138, 2019 | 68 | 2019 |
| Toward a learning science for complex crowdsourcing tasks S Doroudi, E Kamar, E Brunskill, E Horvitz Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016 | 64 | 2016 |
| Information extraction and manipulation threats in crowd-powered systems WS Lasecki, J Teevan, E Kamar Proceedings of the 17th ACM conference on Computer supported cooperative …, 2014 | 61 | 2014 |
| Identifying and accounting for task-dependent bias in crowdsourcing E Kamar, A Kapoor, E Horvitz Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 3 (1), 2015 | 56 | 2015 |
| 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 | 49 | 2017 |
| Incorporating helpful behavior into collaborative planning E Kamar, Y Gal, BJ Grosz Proceedings of The 8th International Conference on Autonomous Agents and …, 2009 | 49 | 2009 |
