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ASE 2020
Mon 21 - Fri 25 September 2020 Melbourne, Australia
Wed 23 Sep 2020 00:40 - 00:50 at Kangaroo - Software Engineering for AI (1) Chair(s): Song Wang

Machine learning software is being used in many applications (finance, hiring, admissions, criminal justice) having a huge social impact. But sometimes the behavior of this software is biased and it shows discrimination based on some sensitive attributes such as sex, race etc. Prior works concentrated on finding and mitigating bias in ML models. A recent trend is using instance-based model agnostic explanation methods such as LIME[1] to find out bias in the model prediction. Our work concentrates on finding shortcomings of current bias measures and explanation methods. We show how our proposed method based on K nearest neighbors can overcome those shortcomings and find the underlying bias of black-box models. Our results are more trustworthy and helpful for the practitioners. Finally, We describe our future framework combining explanation and planning to build fair software

Wed 23 Sep
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00:00 - 01:00: Software Engineering for AI (1)Research Papers / NIER track at Kangaroo
Chair(s): Song WangYork University, Canada
00:00 - 00:20
Talk
Research Papers
Weijun ShenNanjing University, Yanhui LiDepartment of Computer Science and Technology, Nanjing University, Lin ChenNanjing University, YuanLei HanNanjing University, Yuming ZhouNanjing University, Baowen XuState Key Laboratory for Novel Software Technology, Nanjing University
00:20 - 00:40
Talk
Research Papers
Xiaoning DuNanyang Technological University, Yi LiNanyang Technological University, Singapore, Xiaofei XieNanyang Technological University, Lei MaKyushu University, Yang LiuNanyang Technological University, Singapore, Jianjun ZhaoKyushu University
00:40 - 00:50
Talk
NIER track
Joymallya ChakrabortyNorth Carolina State University, USA, Kewen PengNorth Carolina State University, Tim MenziesNorth Carolina State University, USA
Link to publication DOI Pre-print Media Attached