Connectionists: CFA (Deadline Extended to September 15) BHCC 2019 - 1st Symposium on Biases in Human Computation and Crowdsourcing, Sheffield, UK, 21-22 October 2019

[Alessandro Checco]

Overview
========
Human Computation and Crowdsourcing have become ubiquitous in the world of
algorithm augmentation and data management. However, humans have various
cognitive biases that influence the way they make decisions, remember
information, and interact with machines. It is thus important to identify
human biases and analyse their effect on complex hybrid systems. On the
other hand, the potential interaction with a large pool of human
contributors gives the opportunity to detect and handle biases in existing
data and systems.

The goal of this symposium is to analyse both existing human biases in
hybrid systems, and methods to manage bias via crowdsourcing and human
computation. We will discuss different types of biases, measures and
methods to track bias, as well as methodologies to prevent and solve bias.

An interdisciplinary approach is often required to capture the broad
effects that these processes have on systems and people, and at the same
time to improve model interpretability and systems’ fairness.

We will provide a framework for discussion among scholars, practitioners
and other interested parties, including industry, crowd workers, requesters
and crowdsourcing platform managers. We expect contributions combining
ideas from different disciplines, including computer science, psychology,
economics and social sciences.

For more information, please visit the event website:
https://sites.google.com/sheffield.ac.uk/bhcc2019.

Submission Guidelines
=================
We welcome ~250-word abstracts describing methodologies, studies or systems
relevant to the topics of the workshop. Submissions are not anonymous. Non
published work, vision statements, and work in progress are welcome.

We are looking for contributions with interesting insights, which could
lead to a productive discussion during the symposium. The main criteria of
evaluation of the Programme Committee are scientific relevance, innovation
level and research potential.

Abstract should be submitted at
https://easychair.org/conferences/?conf=bhcc2019.

List of Topics
===========

Biases in Human Computation and Crowdsourcing
- Human sampling bias
- Effect of cultural, gender and ethnic biases
- Effect of human in the loop training and past experiences
- Effect of human expertise vs interest
- Bias in experts vs bias in crowdsourcing
- Bias in outsourcing vs bias in crowdsourcing
- Bias in task selection
- Task assignment/recommendation for reducing bias
- Effect of human engagement on bias
- Responsibility and ethics in human computation and bias management
- Preventing bias in crowdsourcing and human computation
- Creating awareness of cognitive biases among human agents
- Measuring and addressing ambiguities and biases in human annotation
- Human factors in AI
- Using Human Computation and Crowdsourcing for Bias Understanding and
Management

Biases in Human-in-the-loop systems
- Identifying new types of cognitive bias in data or content
- Measuring bias in data or content
- Removing bias in data or content
- Dealing with algorithmic bias
- Fake news detection
- Diversification of sources by means
- Provenance and traceability
- Long-term crowd engagement
- Generating benchmarks for bias management

Committees
==========
Program Committee
- Alessandro Bozzon, University of Delft (Netherlands)
- Alessandro Checco, University of Sheffield (UK)
- Amrapali Zaveri, Institute of Data Science, Maastricht University
(Netherlands)
- Eddy Maddalena, University of Southampton (UK)
- Jahna Otterbacher, Open University of Cyprus (Cyprus)
- Jo Bates, University of Sheffield (UK)
- Mengdie Zhuang, University of London (UK)
- Ujwal Gadiraju, L3S Research Center, Hannover (Germany)

Organizing committee
- Alessandro Checco, University of Sheffield (UK)
- Eddy Maddalena, University of Southampton (UK)

Venue and Registration
==================
Please visit the event website:
https://sites.google.com/sheffield.ac.uk/bhcc2019.

Keynote
=======
Michael Rovatsos is Professor of AI at the University of Edinburgh, and
Director of the Bayes Centre, the University’s innovation hub for Data
Science and AI. He also represents the University at the Alan Turing
Institute, the UK’s national institute for Data Science and AI. His
research interests are in Artificial Intelligence with a specific focus on
multiagent systems, i.e. systems where either artificial or human agents
collaborate or compete with each other. His involvement in large
interdisciplinary projects has led to a major shift of his research agenda
toward ethical AI over the last five years, where he focuses on developing
intelligent decision-making algorithms and platform architectures that
support the moral values of their human stakeholders.

Contacts
========
- All questions should be emailed to a.checco at sheffield.ac.uk.

Sponsors
========
- FashionBrain https://fashionbrain-project.eu
- Qrowd http://qrowd-project.eu
Please contact us if you want to be a sponsor: you will be able to
advertise your company/project with a booth during the two-day symposium,
distribute flyers and appear on this website.
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