Ece Kamar

According to our database1, Ece Kamar authored at least 95 papers between 2007 and 2023.

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Bibliography

2023
Teaching Language Models to Hallucinate Less with Synthetic Tasks.
CoRR, 2023

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models.
CoRR, 2023

Sparks of Artificial General Intelligence: Early experiments with GPT-4.
CoRR, 2023

Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Avoiding Negative Side Effects of Autonomous Systems in the Open World.
J. Artif. Intell. Res., 2022

Benchmarking Spatial Relationships in Text-to-Image Generation.
CoRR, 2022

Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence.
CoRR, 2022

A new Workflow for Human-AI Collaboration in Citizen Science.
Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022

ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Investigations of Performance and Bias in Human-AI Teamwork in Hiring.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Bayesian Approach to Identifying Representational Errors.
CoRR, 2021

Avoiding Negative Side Effects Due to Incomplete Knowledge of AI Systems.
AI Mag., 2021

Designing an Online Infrastructure for Collecting AI Data From People With Disabilities.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Understanding Failures of Deep Networks via Robust Feature Extraction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Understanding the Representation and Representativeness of Age in AI Data Sets.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Toward fairness in AI for people with disabilities SBG@a research roadmap.
ACM SIGACCESS Access. Comput., 2020

Blind Spot Detection for Safe Sim-to-Real Transfer.
J. Artif. Intell. Res., 2020

Can I Still Trust You?: Understanding the Impact of Distribution Shifts on Algorithmic Recourses.
CoRR, 2020

Security and Machine Learning in the Real World.
CoRR, 2020

Optimizing AI for Teamwork.
CoRR, 2020

Personalization in Human-AI Teams: Improving the Compatibility-Accuracy Tradeoff.
CoRR, 2020

SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions.
CoRR, 2020

Towards Hybrid Human-AI Workflows for Unknown Unknown Detection.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

An Empirical Analysis of Backward Compatibility in Machine Learning Systems.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning to Complement Humans.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Multi-Objective Approach to Mitigate Negative Side Effects.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Do I Look Like a Criminal? Examining how Race Presentation Impacts Human Judgement of Recidivism.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Mitigating the Negative Side Effects of Reasoning with Imperfect Models: A Multi-Objective Approach.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Machine behaviour.
Nat., 2019

Toward Fairness in AI for People with Disabilities: A Research Roadmap.
CoRR, 2019

A Case for Backward Compatibility for Human-AI Teams.
CoRR, 2019

Studying Preferences and Concerns about Information Disclosure in Email Notifications.
Proceedings of the World Wide Web Conference, 2019

Software engineering for machine learning: a case study.
Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019

What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring.
Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

Not Everyone Writes Good Examples but Good Examples Can Come from Anywhere.
Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance.
Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

Faithful and Customizable Explanations of Black Box Models.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Investigating Human + Machine Complementarity for Recidivism Predictions.
CoRR, 2018

Evaluating and Complementing Vision-to-Language Technology for People who are Blind with Conversational Crowdsourcing.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure.
Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing, 2018

Discovering Blind Spots in Reinforcement Learning.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Interpretable & Explorable Approximations of Black Box Models.
CoRR, 2017

What Went Wrong and Why? Diagnosing Situated Interaction Failures in the Wild.
Proceedings of the Social Robotics - 9th International Conference, 2017

Explanation Systems for Influence Maximization Algorithms.
Proceedings of the 3rd International Workshop on Social Influence Analysis co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Toward Scalable Social Alt Text: Conversational Crowdsourcing as a Tool for Refining Vision-to-Language Technology for the Blind.
Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing, 2017

CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering.
Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing, 2017

Communicating Context to the Crowd for Complex Writing Tasks.
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Complementing the Execution of AI Systems with Human Computation.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Hybrid workplaces of the future.
XRDS, 2016

Discovering Blind Spots of Predictive Models: Representations and Policies for Guided Exploration.
CoRR, 2016

Optimizing the diamond lane: A more tractable carpool problem and algorithms.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Clustering for set partitioning with a case study in ridesharing.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Intervention Strategies for Increasing Engagement in Crowdsourcing: Platform, Predictions, and Experiments.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Directions in Hybrid Intelligence: Complementing AI Systems with Human Intelligence.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Interactive Teaching Strategies for Agent Training.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Toward a Learning Science for Complex Crowdsourcing Tasks.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

HEALER: POMDP Planning for Scheduling Interventions among Homeless Youth (Demonstration).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

POMDPs for Assisting Homeless Shelters - Computational and Deployment Challenges.
Proceedings of the Autonomous Agents and Multiagent Systems - AAMAS 2016 Workshops, - Visionary Papers, 2016

2015
Metareasoning for Planning Under Uncertainty.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Identifying and Accounting for Task-Dependent Bias in Crowdsourcing.
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

Planning for Crowdsourcing Hierarchical Tasks.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
Crowdsourcing Language Generation Templates for Dialogue Systems.
Proceedings of the INLG 2014, 2014

Information extraction and manipulation threats in crowd-powered systems.
Proceedings of the Computer Supported Cooperative Work, 2014

Gauss meets Canadian traveler: shortest-path problems with correlated natural dynamics.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Stochastic Privacy.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Signals in the Silence: Models of Implicit Feedback in a Recommendation System for Crowdsourcing.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Modeling information exchange opportunities for effective human-computer teamwork.
Artif. Intell., 2013

Look versus Leap: Computing Value of Information with High-Dimensional Streaming Evidence.
Proceedings of the IJCAI 2013, 2013

Lifelong Learning for Acquiring the Wisdom of the Crowd.
Proceedings of the IJCAI 2013, 2013

Why Stop Now? Predicting Worker Engagement in Online Crowdsourcing.
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

Volunteering Versus Work for Pay: Incentives and Tradeoffs in Crowdsourcing.
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

Light at the end of the tunnel: a Monte Carlo approach to computing value of information.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012
Crowdsourcing the acquisition of natural language corpora: Methods and observations.
Proceedings of the 2012 IEEE Spoken Language Technology Workshop (SLT), 2012

Towards Situated Collaboration.
Proceedings of the Workshop on Future directions and needs in the Spoken Dialog Community: Tools and Data, 2012

Combining human and machine intelligence in large-scale crowdsourcing.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Incentives for truthful reporting in crowdsourcing.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011
MSRC at TREC 2011 Crowdsourcing Track.
Proceedings of The Twentieth Text REtrieval Conference, 2011

Jogger: models for context-sensitive reminding.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2009
Collaboration and Shared Plans in the Open World: Studies of Ridesharing.
Proceedings of the IJCAI 2009, 2009

Modeling User Perception of Interaction Opportunities for Effective Teamwork.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

Incorporating helpful behavior into collaborative planning.
Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

2008
Mobile opportunistic commerce: mechanisms, architecture, and application.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007
Modeling User Perception of Interaction Opportunities in Collaborative Human-Computer Settings.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007


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