HumL 2018
The 1st international Workshop on on Augmenting Intelligence with
Humans-in-the-Loop, co-located with The Web
Conference<https://www.google.com/url?q=https://www2018.thewebconf.org/&sa=D&ust=1515374278240000&usg=AFQjCNG56rfTUyrYcp24wr4BEzXZTr3TOA>https://www2018.thewebconf.org/
<https://www.google.com/url?q=https://www2018.thewebconf.org/&sa=D&ust=1515374278241000&usg=AFQjCNHiAiY4Ff1Sx3KrswxpADn8mWcShw>
Lyon, France, April 23-27, 2018
Workshop website: http://w3id.org/huml
Twitter: @HumLworkshop #HumL #HumL2018
*************** Important Dates ***************
Abstract submission: 19 January 2018
Paper submission deadline: 26 January 2018
Author notification: 19 February 2018
Early-bird registrations deadline: 21 February 2018
Final version deadline: 4 March 2018
Workshop date: 24 April 2018
*************** Call for Papers ***************
Human-in-the-loop is a model of interaction where a machine process
and one or more humans have an iterative interaction. In this paradigm
the user has the ability to heavily influence the outcome of the process
by providing feedback to the system as well as the opportunity to grab
different perspectives about the underlying domain and understand the
step by step machine process leading to a certain outcome. Amongst the
current major concerns in Artificial Intelligence research are being
able to explain and understand the results as well as avoiding bias in
the underlying data that might lead to unfair or unethical conclusions.
Typically, computers are fast and accurate in processing vast amounts of
data. People, however, are creative and bring in their perspectives and
interpretation power. Bringing humans and machines together creates a
natural symbiosis for accurate interpretation of data at scale. The goal
of this workshop is to bring together researchers and practitioners in
various areas of AI (i.e., Machine Learning, NLP, Computational
Advertising, etc.) to explore new pathways of the human-in-the-loop
paradigm.
*************** Research Topics ***************
Topics of interest include, but are not limited to:
* Human Factors:
** Human-computer cooperative work
** Mobile crowdsourcing applications
** Human Factors in Crowdsourcing
** Social computing
** Ethics of Crowdsourcing
** Gamification techniques
* Data Collection:
** Data annotations task design
** Data collection for specific domains (e.g. with privacy constraints)
** Data privacy
** Multi-linguality aspects
* Machine Learning:
** Dealing with sparse and noisy annotated data
** Crowdsourcing for Active Learning
** Statistics and learning theory
* Applications:
** Healthcare
** NLP technologies
** Translation
** Data quality control
** Sentiment analysis
*************** Submission ********************
The proceedings of the workshop will be published online (open access)
and throughACM Digital Library
<https://www.google.com/url?q=http://dl.acm.org/&sa=D&ust=1515374278247000&usg=AFQjCNHrfG-Dm6NkP5PMRl5aQk0Gg96rRw>,
as a companion volume of The Web Conf.
Papers must be submitted in PDF according to the new ACM format
published inACM guidelines
<https://www.google.com/url?q=http://www.acm.org/publications/proceedings-template&sa=D&ust=1515374278247000&usg=AFQjCNE9Br_PnHhhZ6DxlGi2_M_16MLyNA>,
selecting the generic “sigconf” sample. Submissions should not exceed 8
pages including any diagrams or appendices and references. The PDF files
must have all non-standard fonts embedded. Submissions must be
self-contained and in English.
Please submit your contributions toEasyChair
<https://www.google.com/url?q=https://easychair.org/conferences/?conf%3Dwww2018satellites&sa=D&ust=1515374278248000&usg=AFQjCNFgNTOgfmnHfV3gB8eU08arXDsEMQ> (https://easychair.org/conferences/?conf=www2018satellites
<https://www.google.com/url?q=https://easychair.org/conferences/?conf%3Dwww2018satellites&sa=D&ust=1515374278248000&usg=AFQjCNFgNTOgfmnHfV3gB8eU08arXDsEMQ>)
and select "Augmenting Intelligence with Humans-in-the-Loop Workshop".
*************** Workshop Chairs ***************
Lora Aroyo, VU University Amsterdam
Gianluca Demartini, University of Queensland
Anna Lisa Gentile, IBM Research Almaden, US
Chris Welty, Google
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