[Dmbu-l] Fwd: [Busec] Karanasiou & Pinotsis talk on legal aspects of machine learning: Hariri inst., Wed 11/30 at 3pm

Charalampos Mavroforakis cmav at bu.edu
Mon Nov 28 18:27:20 EST 2016


This is looks like an interesting talk.



---------- Forwarded message ----------
From: Ran Canetti <canetti at bu.edu>
Date: Fri, Nov 25, 2016 at 12:21 PM


As a continuation of the effort to bring together law scholars and computer
scientists, we'll have the following talk at the *Hariri institute*
this *Wednesday
November 30 at 3pm*. refreshments will be served at 2:45pm.

Also, on Monday December 12, 1PM we will host a talk by Professor Wendy
Gordon from the law school on the future of copyright protection.  Please
mark your calendars.

Best, Ran



Title: Emergent Normative and Legal Aspects of Automated Systems: The
Intricacies of Machine Learning Algorithms

Argyro P Karanasiou  (U. Bournsmouth) & Dimitris A Pinotsis (MIT)

Abstract

In the advent of modern neural networks and machine learning, Automated
Decision Making (ADM) has relied upon a plethora of algorithmic approaches
and has found a wide range of applications in marketing automation, social
networks, computational neuroscience, robotics and other fields. Given its
range of applications, the purpose of this talk is to shed light on the
legal questions posed by the broad use of ADM, which are key in determining
all distinct rights and obligations of the programmer and the consumer. As
a case study, driverless cars will be considered. This will also allow us
to explore the several layers of human and machine interaction, which
stretches beyond the scope of “data protection”. The distinct degrees of
human interference and complexity in the underlying algorithms challenge
axiomatic concepts in law, such as the notion of “personhood”. To
understand this better, the discussion will then focus on opening the
“black box”: how do deep neural networks find observed patterns in Big
Data? The main aim of the talk is to provide a toolbox for measuring
algorithmic determination in automated/semi-automated tasks; another black
box yet to be opened.



*Dr Argyro Karanasiou*
<http://staffprofiles.bournemouth.ac.uk/display/akaranasiou>* is an
Assistant Professor (Senior Lecturer) specialising in IT and Media Law,
affiliated with the Centre for Intellectual Property, Policy & Management
(CIPPM) and with the Data Science Institute (DSI) at Bournemouth University
(United Kingdom). Since August 2016, Argyro is a Visiting Research Fellow
at the Internet Society Project (ISP) Center - Yale Law School. Her
research discusses techno-legal conceptual frameworks towards
a decentralised internet regulation with a particular focus on media
ownership and user empowerment. Currently, Argyro is working on Deep
Learning and its implications for the agent’s autonomy in automated
systems. In the past, she has been involved in media related projects with
the Council of Europe (Regional Expert on online media and reconciliation
in South Eastern Europe) and with the OSCE Representative on Freedom of the
Media. In 2013 (Indonesia) and 2015 (Brazil), Argyro was awarded an
Internet Society IGF Ambassadorship and in 2014 she was named a PbD
Ambassador by the Information and Privacy Commissioner in Ontario,
Canada. In 2016, Argyro joined the EFF's group of experts on Free Trade
Agreements and Digital Services. Recently, Argyro was invited to submit
evidence to the Royal Society on automated decision making and deep
learning.  Her current projects span a wide range of topics from
IoT/wearable tech to big data, bioinformatics and mesh networks. Argyro
tweets @ArKaranasiou.*







*Dr Dimitris Pinotsis*
<https://www.researchgate.net/profile/Dimitris_Pinotsis>* is a Visiting
Research Scientist at the Picower Institute for Learning and Memory and the
Department of Brain and Cognitive Sciences at the Massachusetts Institute
of Technology (MIT). He is also an Honorary Senior Research Associate at
the Wellcome Trust Centre for Neuroimaging at University College London
(UCL). Dimitris holds a PhD and an MSc in Mathematics from the Department
of Applied Mathematics and Theoretical Physics (DAMTP) of the University of
Cambridge, UK. His research has been funded by the US Air Force Office of
Scientific Research, UK Research Councils (EPSRC) and the Wellcome Trust.
It spans diverse areas including machine learning, the analysis of big data
in   neuroimaging, theoretical neurobiology and nonlinear systems in
mathematical physics. In recent work, Dimitris exploits deep neural
networks and hierarchical Bayesian inference to answer questions in
attention, memory and decision-making. Dimitris is an Expert Reviewer for
US Air Force Office of Scientific Research, the Austrian Science Fund and
the Italian Ministry of Health. He tweets at @dimitrispp and shares his
work at researchgate.net <http://researchgate.net>.*
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