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


Deep learning

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

Jeremy Knox

Yuchen Wang

The University of Edinburgh

Artificial Intelligence





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




Network-centric warfare

14:25 – 14:45 Social Physics

Simon Mills

De Montfort University

Big Data

Empirical method


Social ontology

14:45- 15:00 Professor Sophy Smith

Director, Institute of Creative Technologies

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

16:45 – 17:00 Conference concludes Simon Mills

Registration with lunch

Important information

Travelling to DMU

Finding the DMU campus

DMU Buildings
Academic Keynote: Professor J. Mark Bishop

TITLE: Human Traffic and the limits of AI


‘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”



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