Women in Data Science (WiDS) Conference
  • Conference
    • Schedule 2021 >
      • Opening Session
      • APAC Session
      • EMEA Session
      • Americas Session
      • Closing Session
      • Workshops
      • Meet the Speakers
      • Best of WiDS
    • Speakers 2021
    • Regional Events 2021 >
      • March 8th Regional Events
    • Ambassadors 2021
    • International Women's Day
    • Videos >
      • Videos 2020
      • Videos 2019
      • Videos 2018
      • Videos 2017
      • Videos 2015
    • Sponsors
    • Collaborators
    • Conference Committee
  • Datathon
    • Datathon Details
    • Datathon Workshops 2021
    • Datathon Resources
    • Excellence in Research Award
    • Datathon News
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Education Outreach Resources
    • Education Outreach Committee
    • Education Outreach Student Advisors
  • Blog
    • WiDStory
    • News
    • In honor of Juneteenth
  • Contact

Been Kim

Research Scientist 
Google Brain
 
Picture
Been Kim is a senior research scientist at Google Brain. Her research focuses on building interpretable machine learning - making ML understandable by humans for more responsible AI. The vision of her research is to make humans empowered by machine learning, not overwhelmed by it. She gave ICML tutorial on the topic in 2017, CVPR and MLSS at University of Toronto in 2018.

She is a co-workshop Chair ICLR 2019, and has been an area chair and a program committee at NIPS, ICML, AISTATS and FAT* conferences.

In 2018, she gave a talk at G20 meeting on digital economy summit in Argentina. In 2019, her work called TCAV received UNESCO Netexplo award for "breakthrough digital innovations with the potential of profound and lasting impact on the digital society”. This work was also a part of CEO’s keynote at Google I/O 19'.

​She received her PhD. from MIT.

Technical Vision Talk Abstract: "Interpretability - Now What?" 
In this talk, Been will reflect on some of the progress made in the field of interpretable machine learning. We will reflect on where we are going as a field, and what are the things we need to be aware and be careful as we make progress. With that perspective, she will then discuss some of her recent work 1) sanity checking popular methods and 2) developing more lay-person friendly interpretability method.

​Sign up for the WiDS Worldwide newsletter.​
subscribe
Support the WiDS Initiative with a donation. 
Be sure to include "WiDS Conference" in the 'Special Instruction' box.
Donate

© 2021 Women in data science

  • Conference
    • Schedule 2021 >
      • Opening Session
      • APAC Session
      • EMEA Session
      • Americas Session
      • Closing Session
      • Workshops
      • Meet the Speakers
      • Best of WiDS
    • Speakers 2021
    • Regional Events 2021 >
      • March 8th Regional Events
    • Ambassadors 2021
    • International Women's Day
    • Videos >
      • Videos 2020
      • Videos 2019
      • Videos 2018
      • Videos 2017
      • Videos 2015
    • Sponsors
    • Collaborators
    • Conference Committee
  • Datathon
    • Datathon Details
    • Datathon Workshops 2021
    • Datathon Resources
    • Excellence in Research Award
    • Datathon News
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Education Outreach Resources
    • Education Outreach Committee
    • Education Outreach Student Advisors
  • Blog
    • WiDStory
    • News
    • In honor of Juneteenth
  • Contact