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Subject:
From:
Gianluca Demartini <[log in to unmask]>
Reply To:
Gianluca Demartini <[log in to unmask]>
Date:
Mon, 8 Jan 2018 10:22:24 +1000
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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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