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

Ran Canetti canetti at bu.edu
Fri Nov 25 12:21:53 EST 2016


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./

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/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 inneuroimaging, 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./

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