MLOps: A Guide to its Adoption in the Context of Responsible AI (SE4RAI 2022)

Who

Beatriz Matsui, Denise Goya

Track

SE4RAI 2022

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When

Tue 17 May 2022 08:10 - 08:25 at SE4RAI room - SE4RAI 2022 Session 1 Chair(s): Qinghua Lu, Xiwei (Sherry) Xu

Beatriz Matsui

UFABC

Brazil

Denise Goya

UFABC

Brazil

Time Zone

The program is currently displayed in (GMT-04:00) Eastern Time (US & Canada).

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Session Program

Tue 17 May
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07:00 - 08:25	SE4RAI 2022 Session 1SE4RAI at SE4RAI room Chair(s): Qinghua Lu CSIRO’s Data61, Xiwei (Sherry) Xu CSIRO Data61

07:00 10m Day opening		Opening SE4RAI
07:10 30m Keynote		Why Software Engineers are the Key to Building AI Systems Responsibly SE4RAI Jon Whittle CSIRO's Data61 and Monash University
07:40 15m Talk		Augur: A Step Towards Realistic Drift Detection in Production ML Systems SE4RAI Grace Lewis Carnegie Mellon Software Engineering Institute, Sebastian Echeverria Carnegie Mellon Software Engineering Institute, Lena Pons Carnegie Mellon Software Engineering Institute, Jeffrey Chrabaszcz Carnegie Mellon Software Engineering Institute
07:55 15m Talk		Challenges in Machine Learning Application Development: An Industrial Experience Report SE4RAI Md Saidur Rahman SWAT Lab, Polytechnique Montreal, Foutse Khomh Polytechnique Montréal, Emilio Rivera École Polytechnique de Montréal, Yann-Gaël Guéhéneuc Concordia University and Polytechnique Montréal, Bernd Lehnert SAP Canada
08:10 15m Talk		MLOps: A Guide to its Adoption in the Context of Responsible AI SE4RAI Beatriz Matsui UFABC, Denise Goya UFABC

Information for Participants

Tue 17 May 2022 07:00 - 08:25 at SE4RAI room - SE4RAI 2022 Session 1 Chair(s): Qinghua Lu, Xiwei (Sherry) Xu

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