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Styliani Kleanthous <[log in to unmask]>
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Styliani Kleanthous <[log in to unmask]>
Wed, 15 Jul 2020 10:09:38 +0300
text/plain (107 lines)
The Cyprus Centre for Algorithmic Transparency <> is
pleased to host and announce the Second Symposium on Biases in Human
Computation and Crowdsourcing
<> taking place between
10 - 11 November 2020, in Cyprus. Possibility for the Symposium to take
place online in case that the COVID-19 situation does not permit travelling
and physical presence.
#BHCC2019 #bias #crowdsourcing #human computationHuman

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.
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.
Please submit your abstract by using the on-line submission system via:

Topics of interest include, but are not limited to:

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

   - 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

Styliani Kleanthous, Open University of Cyprus (Cyprus)
Jahna Otterbacher, Open University of Cyprus (Cyprus)
Eddy Maddalena, King’s College London (UK)
Alessandro Checco, the University of Sheffield (UK)

Styliani Kleanthous, Ph.D

CyCAT - Cyprus Center for Algorithmic Transparency

Open University of Cyprus

Phone: 22411904



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