AI & Fairness Panel Talk @ KAIST International Symposium on AI and Future Society, Dec. 10th, 2021

AI & Fairness Panel with Tulsee Doshi (Head of Product, Google), Kangwook Lee (Professor, Univ. Wisconsin Madison), Been Kim (Research Scientist, Google Brain), and Changho Suh (Professor, KAIST)

My Talk: "Responsible AI: Model-centric and Data-centric Approaches"

[Slides]

NeurIPS Talk, Dec. 9th, 2021

Yuji Roh, Kangwook Lee, Steven Euijong Whang, and Changho Suh, "Sample Selection for Fair and Robust Training," NeurIPS 2021

[Paper] [Slides]

VLDB Talk, Aug. 18th, 2021

G. Heo, Y. Roh, S. Hwang, D. Lee, and S. E. Whang, "Inspector Gadget: A Data Programming-based Labeling System for Industrial Images," VLDB, 2021

[Paper] [Slides] [Poster]

ACM SIGKDD Tutorial, Aug. 14th, 2021

J. Lee, Y. Roh, H. Song, and S. E. Whang, "Machine Learning Robustness, Fairness, and their Convergence," KDD, 2021 (Recorded separately with permission)

[Extended Abstract][Slides][Homepage]

ACM SIGMOD Talk, June 22nd, 2021

Ki Hyun Tae and Steven Euijong Whang, "Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models," SIGMOD, 2021

[Paper] [Slides]

ICLR Talk, May 3rd, 2021

Yuji Roh, Kangwook Lee, Steven Euijong Whang, and Changho Suh, "FairBatch: Batch Selection for Model Fairness," ICLR 2021

[Paper] [Slides]

VLDB Tutorial, Sept. 2nd, 2020

Steven Euijong Whang and Jae-Gil Lee, "Data Collection and Quality Challenges for Deep Learning," PVLDB, 13(12): 3429-3432, 2020

[Proposal] [Slides]

Google APAC TechTalk, Aug. 19th, 2020

Steven Euijong Whang, "Responsible AI Techniques for Model Training and Data Acquisition," Google APAC Academic Research Talk Series, 2020

[Slides]

ICML Talk, July 16th, 2020

Yuji Roh, Kangwook Lee, Steven Euijong Whang, and Changho Suh, "FR-Train: A Mutual Information-based Approach to Fair and Robust Training," ICML 2020

[Paper] [Slides]