Laboratory for Artificial Intelligence and Human-Centered Computing (AI&HCC), University of Texas at Austin The University of Texas at Austin     The University of Texas at Austin   The University of Texas at Austin

Laboratory for Artificial Intelligence and Human-Centered Computing (AI&HCC)

group photo

Director: Professor Matthew Lease

PublicationsDatasets & SoftwareSlides

1616 Guadalupe Ste 5.202
Austin, TX 78701-1213
Campus box: D8600
Room: UTA 5.520 • 5th floor map
Lab Phone: (512) 232-1189
Director's Phone: (512) 471-9350

Hook 'em Horns!

One-page Lab Flyer


Seeking a Postdoctoral Researcher to join our lab: read more...

Overview: Our research spans artificial Intelligence (AI) modeling and human-computer interaction (HCI) design. We create novel datasets, build AI models, and evaluate model performance and end-user impacts. When automated AI falls short, we design human-in-the-loop approaches supported by AI model explanations and creative user interfaces. To promote fair AI, we design better ways to annotate data without bias and modeling techniques to mitigate dataset biases. We conduct fundamental research, applied to real-world problems that matter, as part of UT Austin's Good Systems Grand Challenge to design responsible AI technologies. A theme of ongoing work is content moderation: automated, human-in-the-loop, and human-safe practices to curb disinformation, hate speech, and polarization online.

Research Areas: Crowdsourcing & Human Computation (HCOMP) • Fair & Explainable AI • Information Retrieval (IR) • Natural Language Processing (NLP)

Some recent publications and talks in top conferences:

  • Annotation agreement and aggregation: WebConf20, KDD21, WebConf22
  • Crowdsourcing task design: JAIR20 (award), CSCW21, Frontiers22
  • Explainable fact-checking: AAAI18, UIST18, CHIIR22, ACL22
  • Hate speech detection: NeurIPS21, iConference22
  • Human-AI teaming: AIES21, ICJAI21, CIST22 (award)
  • Information Retrieval Evaluation: CIKM18, SIGIR18, ECIR19 (award), ICTIR20
  • Multi-objective optimization: ICTIR21, UAI22
  • Supporting content moderators: HCOMP20, CHI21 (See also: CS News, instagram and twitter)

Postdocs

PhD Students

Alex Braylan (Computer Science) [scholar, LinkedIn]
Anubrata Das (iSchool) [scholar, LinkedIn]
Soumyajit Gupta (Computer Science) [LinkedIn]
Gauri Kambhatla (Computer Science) [scholar, LinkedIn]
Houjiang Liu (iSchool) [scholar, LinkedIn]

Masters Students

Sooyong Lee (Computer Science)
Yiheng (Sam) Su (Computer Science)

Selected Research & Demos

Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Wei Sun and Matthew Lease. Robust Human-AI Collaboration with Bandit Feedback. The Conference on Information Systems and Technology (CIST), 2022. Best Student Paper award. [conference-website]

Li Shi, Nilavra Bhattacharya, Anubrata Das, Matthew Lease, and Jacek Gwizdka. The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims. In Proceedings of the 7th ACM SIGIR Conference on Human Information, Interaction and Retrieval (CHIIR), pages 315--320, 2022. [ bib | pdf | demo | sourcecode | video | poster | tech-report ]

Anubrata Das, Brandon Dang, and Matthew Lease. Fast, Accurate, and Healthier: Interactive Blurring Helps Moderators Reduce Exposure to Harmful Content. In Proceedings of the 8th AAAI Conference on Human Computation and Crowdsourcing (HCOMP), pages 33--42, 2020. [ bib | pdf | demo | blog-post | sourcecode | video | slides ]

Mucahid Kutlu, Tyler McDonnell, Tamer Elsayed, and Matthew Lease. Annotator Rationales for Labeling Tasks in Crowdsourcing. Journal of Artificial Intelligence Research (JAIR), 69:143--189, 2020. Award Winning Papers Track. [ bib | pdf | blog-post | data | conference-website ]

Soumyajit Gupta, Mucahid Kutlu, Vivek Khetan, and Matthew Lease. Correlation, Prediction and Ranking of Evaluation Metrics in Information Retrieval. In Proceedings of the 41st European Conference on Information Retrieval (ECIR), pages 636--651, 2019. Best Student Paper award. [ news | bib | pdf | data | sourcecode | slides | tech-report ]

An Thanh Nguyen, Aditya Kharosekar, Aditya Kharosekar, Saumyaa Krishnan, Siddhesh Krishnan, Elizabeth Tate, Byron C. Wallace, and Matthew Lease. Believe it or not: Designing a Human-AI Partnership for Mixed-Initiative Fact-Checking. In Proceedings of the 31st ACM User Interface Software and Technology Symposium (UIST), pages 189--199, 2018. [ bib | pdf | demo | sourcecode | video | slides ]

Tyler McDonnell, Matthew Lease, Mucahid Kutlu, and Tamer Elsayed. Why Is That Relevant? Collecting Annotator Rationales for Relevance Judgments. In Proceedings of the 4th AAAI Conference on Human Computation and Crowdsourcing (HCOMP), pages 139--148, 2016. Best Paper Award. [ news | bib | pdf | blog-post | data | slides ]

Hyun Joon Jung and Matthew Lease. A Discriminative Approach to Predicting Assessor Accuracy. In Proceedings of the 37th European Conference on Information Retrieval (ECIR), pages 159--171, 2015. Samsung Human-Tech Paper Award: Silver Prize in Computer Science.bib | pdf | news ]

Selected Talks: Videos and Slides (videos link is most current content)

Panel: Fair & Transparent AI: Lessons from UT Austin's ood Systems Grand Challenge (April 20, 2021)
Talk: Reducing Psychological Impacts of Content Moderation Work. UT Austin's Good Systems: Future of Work seminar series (Feb. 8, 2021)
Talk: Toward Safer Content Moderation and Better Supporting Complex Annotation Tasks Delft University speaker series on "Crowd Computing & Human-Centered AI" (The Academic Fringe Festival (Nov. 23, 2020)
Interview: Curbing misinformation, with help from the Micron Foundation (November 4, 2019)
Panel: Army Mad Scientist Day -- Ethics & the Future of AI Innovation (April 25, 2019)

Selected News

Join our Lab!

NO INTERNSHIPS FOR VISITING STUDENTS

Prospective graduate students: Learn About UT Austin & Life in Austin, and see our Postdoc ad for more about the lab

Current MSIS students

Undergraduates: inquire about research opportunities or visit EUREKA!. Independent study course credit is possible (e.g., in either informatics or computer science). Undergraduates have co-authored research papers with us in the past. Also see the CNS page on Undergraduate Research.

High School Students: apply for UT's Summer Research Academy

Alumni

Md. Mustafizur Rahman (LinkedIn), 2021, Microsoft
An Thanh Nguyen, 2020
Ye Zhang, 2019, Google
Mucahid Kutlu (Postdoc), 2018, TOBB University of Economics and Technology
Tyler McDonnell, 2017, SparkCognition
Hyunjoon Jung, 2015, Adobe
Ivan Oropeza, 2015, Google
Haofeng Zhou, 2015, Facebook
Shruti Bhosale, 2014, Facebook
Hohyon Ryu, 2012, OXOpolitics
Aashish Sheshadri, 2014, PayPal
Donna Vakharia, 2014, PayPal


QUESTIONS?