Big Data, Artificial Intelligence and Robotics (BDAIR 18) Programme

June 28, 2018, 9am-5pm

DMU Campus Centre Building, Room 2.01 and 2.02

DMU Campus Map

Media and Communications Research Centre (MCRC)

Mobile Cognitive Systems Research Group (MCS)

Centre for Computing and Social Responsibility (CCSR)

Institute of Artificial Intelligence (IAI)

Symposium Programme

Time Event Notes
9:00– 9:30 Registration Welcome coffee
9:30-9:45 Welcome by Professor David Mba (Dean/ProVC) Address
9:45 – 10:45 Keynote (Academic)

Professor Mark Bishop

Aladdin Ayesh
10:45-11:00 Coffee Break Networking
Session 1 Chair: Aladdin Ayesh 11:05-12:30
11:05 – 11:25 Hype, risk and responsibility: Politics and policies of Artificial Intelligence

Inga Ulnicane

Tyr Fothergill

William Knight

Bernd Carsten Stahl

De Montfort University

Artificial Intelligence

Policy framing

Emerging technology

expectations hype

11:25 – 11:45 Content Analysis AI? An assessment framework for machine learning algorithms on text content analysis

João Gonçalves

University of Minho (Portugal)

Automated content analysis

Media studies

Communication

Deep learning

11:45 – 12:15 Artificial Intelligence and Educational Inclusion

Jeremy Knox

Yuchen Wang

The University of Edinburgh

Artificial Intelligence

Education

Inclusion

Teaching

Learning

12:15- 12:30 Panel Q/A session
12:30 – 14:00 Lunch Lunch and Networking
Session 2 Simon Mills 14:05 – 15:30
14:05- 14:25 Algorithmic War: The AI ‘Revolution in Military Affairs’

William Merrin

Swansea University

War

AI

Big-data

Network-centric warfare

14:25 – 14:45 Social Physics

Simon Mills

De Montfort University

Big Data

Empirical method

Epistemology

Social ontology

14:45- 15:00 Professor Sophy Smith

Director, Institute of Creative Technologies

Address
15:00- 15:15 Banks and Big Data Opportunities and Challenges

Maryam Alsulaimi

De Montfort University

Big Data

Bank industry

Social media technologies

15:15- 15:30 Panel Q/A session Simon Mills
15:30- 15:40 Coffee Break Networking
15:45 – 16:10 Keynote (Amnesty International)

Azmina Dhrodia

Indrani Lahiri
16:10- 16:30 Dr James Russell

Head of Leicester Media School

Address
16:45 – 17:00 Conference concludes Simon Mills

Registration with lunch

https://www.eventbrite.co.uk/e/big-data-artificial-intelligence-and-robotics-bdair18-symposium-with-lunch-tickets-45104842799?utm-medium=discovery&utm-campaign=social&utm-content=attendeeshare&aff=escb&utm-source=cp&utm-term=listing

Important information

Travelling to DMU

http://www.dmu.ac.uk/about-dmu/how-to-find-us/how-to-find-us.aspx

Finding the DMU campus

http://www.dmu.ac.uk/about-dmu/estates-commercial-services/dmu-conferences/finding-the-dmu-campus.aspx

DMU Buildings

http://www.dmu.ac.uk/about-dmu/estates-commercial-services/buildings-on-dmu-campus/dmu-buildings.aspx
Academic Keynote: Professor J. Mark Bishop

TITLE: Human Traffic and the limits of AI

ABSTRACT:

‘Insider Threat’ is a formidable risk to business because it threatens both customer and employee trust. Accidental or malicious misuse of a firm’s most sensitive and valuable data can result in customer identity theft, financial fraud, intellectual property theft, or damage to infrastructure. Because insiders have privileged access to data in order to do their jobs, it’s usually quite difficult for security professionals to detect suspicious activity; a process even more challenging to automate (and deploy at scale across the large organisations that most need it) as – so I will suggest – computers fundamentally lack semantic understanding of the meaning of the ‘bits’ they so adroitly process. Conversely, in this talk I will outline a new approach to ‘Insider Threat’ detection that draws inspiration from the `Traffic Analysis’ of encrypted `Axis signal traffic’ undertaken at Bletchley Park in WW2. A novel approach that (i) conceives companies as complex autonomous autopoietic entities and (ii) deploys state of art computational analysis of the communication flows that so define the company to flag potentially aberrant employee behaviour; intelligence that can be leveraged to help detect HR problematics before they arise.

Brief Bio Mark Bishop is Director of The Centre for Intelligent Data Analytics and Professor of Cognitive Computing at Goldsmiths, University of London and a co-opted expert on AI for ICRAC (the International Committee for Robot Arms Control). In these roles Mark has been awarded research funds in excess of £3m and published around 200 articles in the field of Cognitive Computing, addressing (a) theory – where his interests focus on the foundations of the swarm intelligence paradigm “Stochastic Diffusion Processes”; (b) application – where Mark has led numerous real-world projects (ranging from Procurement & HR Analytics and Fraud detection to Autonomous Robotics, Advanced Neural Networks and Space Exploration); and (c) its philosophical foundations – where he has explored the limitations of AI and Neural Computation, most famously developing the “Dancing with Pixies” reductio ad absurdum (a powerful and original argument against the possibility of machine consciousness). In addition, Mark has edited three collections of essays: together with John Preston, a critique of John Searle’s famous argument against machine intelligence, “Views into the Chinese Room” (OUP, 2002); with Andrew Martin he co- edited a collection of essays on “Contemporary sensorimotor theory” (Springer 2014) and with Experience Bryon et al., Mark co-edited a volume on “Embodied Cognition, acting and performance” (Routledge 2018).

Industry Keynote: Azmina Dhrodia, Amnesty International

Brief Bio Azmina Dhrodia is a Researcher on Technology and Human Rights at the Amnesty International Secretariat in London. She recently authored, #ToxicTwitter: Violence and Abuse against Women Online, a report on the human rights impact of online abuse against women on Twitter. The research includes the use of machine learning to detect levels of online abuse against female politicians active on Twitter prior to the UK General Election in 2017. She also helps coordinate the Amnesty Decoders Troll Patrol platform – an online platform that uses digital volunteers to help quantify and classify the scale and type of violence and abuse received by female politicians and journalists and aims to use the data generated to train an algorithm that can detect and monitor online abuse. She was previously the Campaigns, Projects and Networks Coordinator in the Gender, Sexuality and Identity Programme from 2011-2016 where she coordinated global campaigns on gender, LGBTI rights and Indigenous Peoples rights. She has also investigated gender-related human rights violations in Nepal, Uganda and the UAE. Azmina holds an MSc in Human Rights from the London School of Economics and a Bachelor of Arts in Political Science from the University of British Columbia.

Special Issues: Call for Papers
Int. J. of Computational Complexity and Intelligent Algorithms

BDAIR 18: Special Issue on: “Big Data, Artificial Intelligence and Digital Futures”

CfP: http://www.inderscience.com/info/ingeneral/cfp.php?id=4356

AND

Journal Special Issue on : Big Data, AI and Digital Futures: Challenges, changes and continuities

Keynote: Professor J. Mark Bishop

Human Traffic and the limits of AI

ABSTRACT: ‘Insider Threat’ is a formidable risk to business because it threatens both customer and employee trust. Accidental or malicious misuse of a firm’s most sensitive and valuable data can result in customer identity theft, financial fraud, intellectual property theft, or damage to infrastructure. Because insiders have privileged access to data in order to do their jobs, it’s usually quite difficult for security professionals to detect suspicious activity; a process even more challenging to automate (and deploy at scale across the large organisations that most need it) as – so I will suggest – computers fundamentally lack semantic understanding of the meaning of the ‘bits’ they so adroitly process. Conversely, in this talk, I will outline a new approach to ‘Insider Threat’ detection that draws inspiration from the `Traffic Analysis’ of encrypted `Axis signal traffic’ undertaken at Bletchley Park in WW2. A novel approach that (i) conceives companies as complex autonomous autopoietic entities and (ii) deploys state of art computational analysis of the communication flows that so define the company to flag potentially aberrant employee behaviour; intelligence that can be leveraged to help detect HR problematics before they arise.

BRIEF BIO: J. Mark Bishop is Director of The Centre for Intelligent Data Analytics and Professor of Cognitive Computing at Goldsmiths, University of London and a co-opted expert on AI for ICRAC (the International Committee for Robot Arms Control). In these roles Mark has been awarded research funds in excess of £3m and published around 200 articles in the field of Cognitive Computing, addressing (a) theory  – where his interests focus on the foundations of the swarm intelligence paradigm “Stochastic Diffusion Processes”; (b) application – where Mark has led numerous real-world projects (ranging from Procurement & HR Analytics and Fraud detection to Autonomous Robotics, Advanced Neural Networks and Space Exploration); and (c) its philosophical foundations – where he has explored the limitations of AI and Neural Computation, most famously developing the “Dancing with Pixies” reductio ad absurdum (a powerful and original argument against the possibility of machine consciousness). In addition, Mark has edited three collections of essays: together with John Preston, a critique of John Searle’s famous argument against machine intelligence, “Views into the Chinese Room” (OUP, 2002); with Andrew Martin he co-edited a collection of essays on “Contemporary sensorimotor theory” (Springer 2014) and with Experience Bryon et al., Mark co-edited a volume on “Embodied Cognition, acting and performance” (Routledge 2018).

 

Big Data, AI and Robotics Symposium June 28, 2018

Call for Papers

How might algorithms and big data shape our digital futures? In what ways can the semantic web impact our everyday life Are there ways of envisioning a structure for managing data in a meaningful way, that may offer transformational experience?

We are witnessing a shift in political, social, cultural and technical relations which are increasingly driven by big data and algorithms. Our external environment is being codified leading to an increased level of surveillance both at personal and professional levels. This in itself is a challenge to privacy and data protection. We are already experiencing self-monitoring and tracking with the devices we wear, that prompt us to engage in certain behaviour. Are we far from a day when technology will induce behavioural changes, not only at cognitive level but also at connative levels? What about claims that Big Data will make theory redundant? What ontological and epistemological issues arise in relation to these technologies? Our thoughts, emotions, and actions are increasingly getting interpellated by algorithms and data. How does that then impact on the ‘Logos-Pathos-Ethos’ of our lives? Sophia bot froze on the question of corruption in Ukraine, but we managed to collect enough data via algorithms to shape Brexit campaign. At the same time, big data pose challenges as they generate noise and that means data often can be indecipherable, bewildering and recherché. Disruptions are common when we deal with data in any subject area. Therefore, it is cardinal to address the technological complexity, not only through academic research, scholarship and pedagogic practice but also industry engagement. On the other hand, big data and algorithms embed innovation and we encounter technologies in a transformational way, where conversations and dialogic interventions are rapid. Perhaps due to the contrasting ways in which we engage with big data and algorithms, the need for well-defined theoretical frameworks and methodological tools are increasingly in demand. This symposium will, therefore, develop the critical conversation around the data paradigm to challenge conventions and propose the innovative engagement to expand our boundary.

We invite empirical and theoretical research papers and panels that address themes such as:

–       Media datafication and neoliberalism –        Researching media and culture using data methods
–       Data and business

–       Social media and big data

–       Ethics and technology

–        Data visualisation, art and design

–        Social responsibility and innovation

–       Data and sustainability –        Data and health
–       Machine learning and AI –       Mobile and locative media
–        Quantified self and data cultures –        Data and surveillance
–       Data and education –       Social bots and the management of sociality

Submission details

Individual papers:

Please submit abstracts of 250-350 words, written in English. Abstracts should contain a clear outline of the argument, the theoretical framework, methodology and results (if applicable), and how this links to the theme and topics of this conference, or to the general concerns of digital culture and communication. Please include 3-5 keywords that describe your work, and a Bio note (max 100 words, stating affiliation).

All abstracts and Bio note should be sent as a single document. Please provide abstracts as .DOC or .DOCX file types.

Posters

Posters are to be designed for an A3 poster size in landscape or portrait format.

Papers should be presented in IEEE formatting style including structure and reference style or in Harvard style.

Details for abstract submission:

Abstracts and posters should be submitted via

https://easychair.org/conferences/?conf=bdair18

Important dates

Registering (Expression of Interest) abstracts and poster proposals: April 9, 2018 (email organisers using BDAIR 18 in the subject line).

Deadline for submission: Friday, April 20, 2018.

Notification of acceptance: April 28th, 2018.

Full papers (short papers 2-4pages or regular papers 6-8 pages) due May 21st, 2018

Any queries, please feel free to contact the organisers.

If you are an international presenter and want to connect with us remotely we may be able to offer Skype/Hang-out sessions depending on the quantity of interest received. We will keep you updated via email.

There is a possibility for Special Issue with journals and updates will be available on our webpage. The full programme and Keynotes will be available soon.

Organisers

Dr Indrani Lahiri ilahiri@dmu.ac.uk

Dr Simon Mills smills@dmu.ac.uk

Dr Aladdin Ayesh aayesh@dmu.ac.uk