Workshop on Emerging Perspectives in Human-Centered Machine Learning

In this workshop, practitioners at the intersection of ML and HCI will
present emerging perspectives in the field of Human-Centered Machine
Learning. Through a focused discussion of different positions on themes,
such as pros and cons on democratizing ML, humans as rich sources of
knowledge to teach machines, and explainable ML, we aim to articulate an
updated HCML research agenda and strengthen this community moving forward.

More information at https://aka.ms/hcmlperspectives

Held in conjunction with ACM 2019 CHI Conference on Human Factors in
Computing Systems - Glasgow, UK - May 4-9 2019 - http://chi2019.acm.org/

We invite the submission of positions papers between 3-6 pages long.
Position papers should follow the CHI Extended Abstract format (
http://chi2019.acm.org/authors/chi-proceedings-format/) and be submitted
through our CMT submission site (

The organizing committee will review the submissions and accepted papers
will be presented at the workshop. We ask that at least one of the authors
of each accepted position paper attends the workshop. Presenting authors
must register for the workshop and at least one full day of the conference.

Each presentation will take place within a session focused around a
particular theme. Sessions will consist of 3-4 presentations, each lasting
approximately 10 minutes and will be followed by a group discussion.

Submission deadline: (on or before) 12 February 2019

Notification to Authors: (on or before) 1 March 2019

Camera-ready copies due: TBD

Workshop: Saturday 4th 2019

Gonzalo Ramos, Microsoft Research, USA

Jina Suh, Microsoft Research, USA

Soroush Ghorashi, Microsoft Research, USA

Christoper Meek, Microsoft Research, USA

Richard Banks, Microsoft Research, UK

Saleema Amershi, Microsoft Research, USA

Rebecca Fiebrink, Goldsmiths, University of London, UK

Gagan Bansal, University of Washington, USA

Alison Smith-Renner, University of Maryland, College Park, USA

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