[Air-L] CfP: NIPS symposium on Machine Learning and the Law

[Jat Singh]

NIPS 2016 Symposium on Machine Learning and the Law
-----------------------------------------------------------------------------

Please forward to others who may have interest.

Important Dates
----------------------
Submission Deadline: Nov 3, 2016
Decision to Authors: Nov 18, 2016
Final Papers Due: Dec 1, 2016   (papers may be revised following the symposium)
Symposium Date: Dec 8, 2016

Note that to come to any of the three NIPS symposia, you must be
registered either for the main NIPS conference or for the workshops.
Early registration with reduced pricing ends at 12:59am on October 6.

Website www.MLandtheLaw.org

Symposium on Machine Learning and the Law
--------------------------------------------------------------

Advances in machine learning and artificial intelligence mean that
predictions and decisions of algorithms are already in use in many
important situations under legal or regulatory control, and this is
likely to increase dramatically in the near future. Examples include
deciding whether to approve a bank loan, driving an autonomous car, or
even predicting whether a prison inmate is likely to offend again if
released. This symposium will explore the key themes of privacy,
transparency and fairness specifically as they relate to the legal
treatment and regulation of algorithms and data. Our primary goals are
(i) to inform our community about important current and ongoing
legislation (e.g. the EU’s GDPR); and (ii) to bring together the legal
and technical communities to help form better policy in the future.

We welcome machine learners, lawyers and anyone interested in social
policy. Although the impact of machine learning on jobs in the legal
profession is an important topic, that is not a key focus of this
symposium.

Call for Papers
---------------------

Authors are invited to submit research abstracts on topics that relate
broadly to the themes of machine learning and the law, including but
not limited to issues of privacy, liability, transparency and fairness
as they relate to algorithms and data.

Submissions should be up to 6 pages in NIPS format (short submissions
are welcome, longer submissions may be accepted, please contact us if
this would help you). Submissions need not be anonymized. Given the
novelty of the field, we welcome a wide range of submissions, whether
technical, legal or careful thought pieces to stimulate debate and
discussion. We are happy to consider submissions that survey and
comment on relevant work that has been previously published.

We aim to highlight a few submissions in spotlight presentations by
authors at the symposium. All accepted papers will be made available
on our symposium website, and will appear in an issue of JMLR Workshop
and Conference Proceedings (unless authors prefer not).

Please see www.MLandtheLaw.org for submission details. Submissions are
due Nov 3, 2016 (11:59PM PDT).

Sponsors: We gratefully acknowledge support from the Center for the
Study of Existential Risk, and the Leverhulme Center for the Future of
Intelligence.