Emerging Perspectives in Human-Centered Machine Learning

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Ramos, Gonzalo and Suh, Jina and Ghorashi, Soroush and Meek, Christopher and Banks, Richard and Amershi, Saleema and Fiebrink, Rebecca and Smith-Renner, Alison and Bansal, Gagan (2019) Emerging Perspectives in Human-Centered Machine Learning. In: CHI '19: CHI Conference on Human Factors in Computing Systems, 4-9 May 2019, Glasgow, Scotland.

Type of Research:	Conference, Symposium or Workshop Item
Creators:	Ramos, Gonzalo and Suh, Jina and Ghorashi, Soroush and Meek, Christopher and Banks, Richard and Amershi, Saleema and Fiebrink, Rebecca and Smith-Renner, Alison and Bansal, Gagan
Description:	Current Machine Learning (ML) models can make predictions that are as good as or better than those made by people. The rapid adoption of this technology puts it at the forefront of systems that impact the lives of many, yet the consequences of this adoption are not fully understood. Therefore, work at the intersection of people's needs and ML systems is more relevant than ever. This area of work, dubbed Human-Centered Machine Learning (HCML), re-thinks ML research and systems in terms of human goals. HCML gathers an interdisciplinary group of HCI and ML practitioners, each bringing their unique, yet related perspectives. This one-day workshop is a successor of Gillies et al. (2016) and focuses on recent advancements and emerging areas in HCML. We aim to discuss different perspectives on these areas and articulate a coordinated research agenda for the XXI century.
Official Website:	https://dl.acm.org/doi/10.1145/3290607.3299014
Your affiliations with UAL:	Research Centres/Networks > Institute for Creative Computing
Date:	2 May 2019
Event Location:	Glasgow, Scotland
Date Deposited:	28 May 2021 14:12
Last Modified:	28 May 2021 14:12
Item ID:	16913
URI:	https://ualresearchonline.arts.ac.uk/id/eprint/16913

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