First CFP International Workshop on Discrimination and Privacy-Aware Data Mining at ICDM'12

[Indre Zliobaite]

Apologies for possible cross-posting.

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International Workshop on

Discrimination and Privacy-Aware Data Mining

in conjunction with IEEE ICDM'12
December 10, 2012
Brussels, Belgium
web: https://sites.google.com/site/dpadm2012/
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The workshop will provide a forum for discussion
of recent advances in discrimination and privacy-aware data mining,
and to offer an opportunity for researchers, policy makers, legal
consultants and practitioners to identify and discuss recent
advances and new promising research directions. Workshop format

The workshop will feature an invited talk from a highly
distinguished privacy law specialist (TBC) and presentations of
selected peer-reviewed papers. In the closing session, we will lead
an open discussion aimed to foresee the future of discrimination
and privacy-aware data mining research and applications, and
identify immediate opportunities for collaboration.

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Background
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The workshop will deal with preserving anonymity and privacy in
data mining, with a particular focus on preventing intentional and
unintentional discrimination in automated decision making.

Vast amounts of data are nowadays collected, stored and processed.
Among others, data mining technology is applied to statistically
determine patterns and trends in data. Predictive models built on
this data are used for making all kinds of administrative and
governmental decisions in automated ways. Inappropriately built
models may systematically discriminate individuals on
the basis of their affiliation to different groups, breach
anonymity and privacy.

Reaching decisions based on objectively collected data may prevent
discrimination, which otherwise would have resulted from any bias
and prejudice that decision makers may have. However, at the same
time, it is a common knowledge that very often databases contain
errors or biases. Data may not be collected properly, data may be
corrupted or missing, and data may be intentionally or
unintentionally biased or contain noise.

Moreover, the process of analyzing the data might include biases
and flaws of its own, which may lead to discrimination. For
instance, when police surveillance takes place only in minority
neighborhoods, their databases would be heavily tilted towards such
minorities. Thus, when searching for criminals in the database,
they will only find minority criminals.

In addition, data driven decision making may breach anonymity and
privacy of individuals, resulting in ethical issues and legal
consequences.

The workshop will focus on detecting, handling and preventing
discrimination, as well as preserving anonymity and privacy in data
mining process from data collection and preparation to exploratory
or predictive data analysis and decision making.

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Topics of Interest
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We invite contributions focusing on legal, ethical, social and
technological issues of discrimination and privacy in data mining.
Topics include, but are not limited to:
- Data privacy and anonymity
- Privacy-preserving data mining
- Discrimination Discovery
- Discrimination-aware data mining techniques
- Computational models of the discrimination process
- Measures for assessing discrimination in models and data
- Unbiased data collection, pre-processing and cleaning
- Responsible data mining

Case studies and application examples dealing with handling
discrimination and privacy in data mining are particularly welcome.

We encourage prospective contributors to submit full papers (8
pages) or short papers (5 pages).

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Important dates
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Submission deadline: August 10, 2012
Notification to authors: October 1, 2012
Camera-ready deadline: October 15, 2012
Workshop day: December 10, 2012

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Submission procedure
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Paper submissions should strictly follow the IEEE 2-column format
(see the IEEE Computer Society Press Proceedings Author
Guidelines). Workshop submissions do not need to be double-blind.

All papers should be submitted through the ICDM Workshop Submission
Site (the link will be announced later). At the time of submission,
the papers must not be under review or accepted for publication
elsewhere.

All papers will be reviewed by the Program Committee based on
technical quality, relevance to data mining, originality,
significance, and clarity. All accepted workshop papers will be
published in ICDM workshop proceedings published by the IEEE
Computer Society Press. Submission implies the willingness of at
least one of the authors to register and present the paper at the
workshop.

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Workshop organizers
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Toon Calders(Eindhoven University of Technology, the Netherlands)
Indre Zliobaite (Bournemouth University, UK)

Contact us regarding the workshop at
dpadmw...@gmail.com
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