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Dr. Martin Cunneen

Biography

I am a lecturer in Data Analytics and Risk Governance in the Accounting and Finance dept. in the Kemmy Business School, University of Limerick. My research focuses on investigating the science of Data Analytics in terms of societal relations. This often concerns questions and topics relating to Explainable AI (XAI), Algorithmic Bias, Black Box decision making, Data Profiling, Data Commodification and Risk, Autonomous Vehicle Decision making, InsurTech, AI in Education, AI Assistants (Language theory & NLP) and Societal Risks due to Data Profiling. I am also interested in AI and technology for social good and especially the use of innovation to support climate risk mitigation.

Research Interests

    Dr Martin Cunneen investigates the societal impacts of Machine Intelligence applications under the umbrella of Data Analytics, AI, ML and Robotics. His research focuses on the challenge to anticipate and provide informed and timely 'Governance' instruments in response to commercial applications of these technologies. With years of professional tech sector experience from sustainable technology initiatives, EdTech, community programming projects to Big Data, his research continually examines the complexities of socio-technological relations. In developing his research, he has fashioned a unique framework to support multi-stakeholder engagement in terms of socio-technological risk and ethics. His research is also supported by years of teaching applied ethics, analytical philosophy, and philosophy of AI & technology. He is a senior member of the Emerging Risk Group (ERG) and a member of the Accountability Research Cluster (ARC) at The University of Limerick. Over the past years, he has developed important networks with international academics in Germany, Spain, Turkey and the UK. Through domestic and international networks, he continues to collaborate with large research consortia, including a number of SFI, EU H2020 research projects. Over several years he has been part of the successful completion of two H2020 EU funded projects, Vision Inspired Driver Assistance Systems (VI-DAS) and Cloud Large Scale Video Analysis (Cloud-LSVA). His research takes a cross-discipline approach by combining technical and social science research on AI and Data innovation to respond to commercial and social orientated research demands.

Teaching Interests

Data Governance, Data Risk and Regulation, Privacy, Explainable AI, Machine Decision making, Insurtech, Data Ethics, AI Principles and Frameworks, Data Markets and Data centred circular economies, and Sustainable AI

Professional Activities

Association

  • Irish Software Foundation, SFI LERO

Other

  • 2020 Horizon Green Deal LC-GD-1-6-2020: Represented UL in REGENERATE proposal with an international consortium applying for Horizon Green Deal funding to research carbon Neutral Smart Farming. "REGENERATE the collective territorial management of both material resources (food, environment, landscapes) and immaterial resources (values, ideas, local traditions and habits). It is a fusion of technological and social innovation in the context of farming."
  • Past Funding Applications
  • Successful Funding Projects
  • 2021: PROVEN HORIZON-CL4-2021-DATA-01. (Co-PI on funding application) "PROVEN will create an ontology-based semantic provenance data layer, to register all data transactions within the platform as relationships between class instances in a graphical database. Traceability of data will be provided as a service to inspect data origin, how it was transformed, labelled, augmented to enable traceability of corruption or errors within data. PROVEN tools will focus on Machine Learning (ML) flows management, with semi-automatic labelling approaches based on weak, active and confident learning, and virtual augmentation with feature-space alignment between real and synthetic data to create effective digital twins. PROVEN platform shall make data and tools available for data creators and consumers under FAIR data principles."
  • 2021-3: Working as Co-PI on successful funded project called Anti-FinTer (Versatile artificial intelligence investigative technologies for revealing online cross-border financing activities of terrorism)
  • 2021-4: Working as Co-PI on successful SFI funded project EMPOWER (Data Governance) "Empower is a research programme involving researchers from four SFI Research Centres: Lero (the programme lead), Insight, ADAPT and FutureNeuro, aimed at developing new systems and methods to enable and support data governance in the real-world application of data-driven solutions. The research will focus on developing a data ecosystem that benefits all users while defining and safeguarding the rights of data sharers. Data ecosystems, such as smart cities or connected health networks, present new challenges that require a fundamental reconsideration of how we manage and use data. While an effective data ecosystem can empower the exchange of knowledge from organisations and individuals, data movement can also give rise to risks that need to be managed from a socio-ethical perspective." https://www.empower-datagovernance.ie/
  • 2021 Disaster Risk Management Proposal: Working as Co-PI representing UL in an international consortium applying for EU funding on DRM.
  • 2021 EXtendOD: Worked as Co-PI with two UL colleagues leading a 9m consortium funding proposal in response to Call: HORIZON-CL5-2021-D6-01 — Safe, Resilient Transport and Smart Mobility services for passengers and goods."ExtendOD will respond to the urgent task of providing solutions and guidance on the connectivity requirements for effective CCAM supporting PDI implementation. The key problem addressed in ExtendOD is the lack of information and decision support models for the design and implementation of the next generation of CCAM services as well as the identification of feasible and sustainable concepts for the provision of connectivity and cooperation enablers for such services. One important and tangible output for ExtendOD will be the creation of a decision-making model around connectivity requirements and existing CCAM PDI solutions."
  • 2020 Horizon Green Deal LC-GD-1-1-2020: Worked in RENATE proposal with an international consortium applying for Horizon Green Deal funding to research Forest Wildfire Risk Management using AI and Data analytics. "RENATE will generate strategies & solutions in line with the experiences of end-users and the needs of different user profiles (firefighting units, civil protection units, law enforcement agencies (LEAs), medical emergency services as well as command and control centres). Dedicated procedures and engagement strategies are included to encourage the effective participation of end-users in the solutions offered, allowing them to better implement their current experiences and habits. For this purpose, RENATE will provide risk detection, monitoring & management services with the integration of a wide variety of advanced PlanetFUSION satellite & ground-based sensors, state-of-the-art technologies".
  • 2020 PRAXIS EDTECH: worked as PI representing UL on educational technology research funding proposal in response to ERASMUS+ Covid funding call.
  • 2020 ERG Covid Risk Perception Proposal: Co-PI on KBS' Emerging Risk Group's SFI Funding proposal on Covid-19 research. "Public policy around the suppression of Covid 19 will not only depend on the adoption of the correct risk mitigation measures but also on the management of attitudes towards this health crisis. Risk perception among citizens is one of the key drivers of the Covid 19 pandemic. The disease is sustained and indeed amplified by the behaviour of people. How risk is perceived will be key in how long people will respect the containment measures put in place by by governments. These behaviours are sustained by risk perceptions within distinct social cohorts."
  • 2019 ETERNITIS: Worked as Co-PI on KBS' contribution to the UL led consortium responding to ICT48 call. The proposal was called ETERNITIS (European Network of Excellence for Artificial Intelligence and Intelligent Robotics). "ETERNITIS spreads the vision of human-centred and trustworthy AI into Robotics. ETERNITIS reinforces Europe's capacity in AI and robotics, exploits the latest and most advanced knowledge, develops synergies between industry and research, create common resources and shared facilities. ETERNITIS strives to keep and strengthen Europe as a world-leading research and innovation powerhouse, driven by major scientific and technological challenges and to keep Europe the best place to work and live."
  • 2019 EXPLAAIN: worked as Co-PI on EXPLAAIN Funding Proposal for CHIST ERA Call (2019) EXPLAAIN will start by identifying and removing biases with vehicular data sets, then through the development of AI techniques explore diverse driving contexts. Using a human in-the loop approach, visual analytics will help AI and non-AI experts identify and remove biases, but also gain an understanding of such data along with the associated reasoning and decision-making processes. These tools will be developed alongside AI researchers in the project and those working on insurance-related aspects to ensure a better understanding of driving context, big data and handover issues.
  • 2018 SecEUro: Worked as Co-PI on H2020 proposal SecEUro (Secure EUropean banking system SecEUro) with seven banks, in six countries, in conjunction with industry and research, aims to create new knowledge and innovative security solutions for a set of threats that the banks themselves have identified as priorities in the evolving challenge of protecting their critical infrastructures
  • 2016-2019: Working on H2020 Cloud Large Scale Video Analytics (LSVA) project. The automotive industry needs tools that can manage the extremely large volumes of data (Big Data) especially to provide support in the annotation task (ADAS, cartography market). The performance of computer vision or video analysis systems is inherently restricted by the quality of the available training data.>>Cloud LSVA Solution >> Cloud-LSVA will analyse and decompose each recorded scene, in order to detect and classify relevant objects and events for specific scenarios. My Role: Worked with UL team and international partners on investigating societal, ethical and legal impacts of increased automation and vehicle data analytics. Published peer-reviewed papers on AI and Autonomous Vehicle data use in relation to societal risk.
  • 2016-2019: Working on H2020 VI-DAS Project. Vision Inspired Driver Assistance Systems. To take a significant step forward in ADAS and therefore makes advances towards autonomous driving. To support drivers in accident avoidance and to mitigate the consequences of collisions. To obtain a more comprehensive analysis of a drivers' situational context using a data fusion module. My Role: Worked with UL team and international partners on investigating societal, ethical and legal impacts of increased automation and vehicle data analytics. Published peer-reviewed papers on Autonomous Vehicle decision making and risk.
  • Current Funding Applications

Outreach

  • I have worked and supported community coding projects aimed at providing technology access and coding (MIT Scratch) to economically disadvantaged areas.

Committee

  • UL40 Mature Student Scholarship Committee,
  • KBS EDI committee,
  • APEX, UL Apex (Academic and Professional Empowerment Network) Advisory Committee. The role of the Advisory Committee will be to: This network aims to be inclusive of all staff academic, professional, administrative, research, technical and support roles at all levels and ALL GENDERS

Publications

Book Chapters

2021

Ethical AI for Automated Bus Lane Enforcement
Caitriona Lannon, John Nelson and Martin Cunneen
(2021) Ethical AI for Automated Bus Lane Enforcement
In Sustainable Transport Systems and New Mobility Services: Challenges and Solutions; Efthimios Bothos, Panagiotis Georgakis, Babis Magoutas and Michiel de Bok(Ed.) USA : MDPI
DOI: https://doi.org/10.3390/su132111579

2021

Creating ethics guidelines for artificial intelligence and big data analytics customers: The case of the consumer European insurance market
Martin Mullins, Christopher P. Holland, Martin Cunneen
(2021) Creating ethics guidelines for artificial intelligence and big data analytics customers: The case of the consumer European insurance market
In Patterns; USA : Cell Press Patterns Journal pp. na-na
DOI: https://doi.org/10.1016/j.patter.2021.100362

2020

Could Autonomous Vehicles Become Accidental Autonomous Moral Machines?
Martin Cunneen
(2020) Could Autonomous Vehicles Become Accidental Autonomous Moral Machines?
In Culturally Sustainable Social Robotics; Marco Nørskov, Johanna Seibt, Oliver Santiago Quick(Ed.) Germany : IOS Press pp. 563-569
DOI: 10.3233/FAIA200958

2018

Framing risk, the new phenomenon of data surveillance and data monetisation; from an ‘always on' culture to ‘always on' artificial intelligence assistants
Martin Cunneen, Martin Mullins and Finbarr Murphy
(2018) Framing risk, the new phenomenon of data surveillance and data monetisation; from an ‘always on' culture to ‘always on' artificial intelligence assistants
In Hybrid Worlds: Societal and Ethical Challenges CLAWAR Association Series on Robot Ethics and Standards; Mohammad O. Tokhi Maria Isabel A. Ferreira Naveen S. Govindarajulu Manuel Silva Gurvinder S. Virk Endre E. Kadar Sarah R. Fletcher(Ed.) London : CLAWAR pp. 65-76
DOI: https://doi.org/10.13180/icres.2018.20-21.08.009

Peer Reviewed Journals

2021

Connected and autonomous vehicle injury loss events: Potential risk and actuarial considerations for primary insurers
Shannon, D., Jannusch, T., David‐Spickermann, F., Mullins, M., Cunneen, M., & Murphy, F
(2021) Connected and autonomous vehicle injury loss events: Potential risk and actuarial considerations for primary insurers
In Risk Management And Insurance Review; pp. 5-35
DOI: https://doi.org/10.1111/rmir.12168
[ULIR]

2021

Surveillance and privacy – Beyond the panopticon. An exploration of 720-degree observation in level 3 and 4 vehicle automation
Tim Jannusch, Florian David Spickermann, Darren Shannon, Juliane Ressel, Michaele Völler, Finbarr Murphy, Irini Furxhia, Martin Cunneen, Martin Mullins
(2021) Surveillance and privacy – Beyond the panopticon. An exploration of 720-degree observation in level 3 and 4 vehicle automation
In Technology In Society; Germany : pp. ---
DOI: https://doi.org/10.1016/j.techsoc.2021.101667

2019

Autonomous Vehicles and Avoiding the Trolley (Dilemma): Vehicle Perception, Classification, and the Challenges of Framing Decision Ethics
Cunneen M.;Mullins M.;Murphy F.;Shannon D.;Furxhi I.;Ryan C.
(2019) Autonomous Vehicles and Avoiding the Trolley (Dilemma): Vehicle Perception, Classification, and the Challenges of Framing Decision Ethics
In Cybernetics And Systems;
DOI: 10.1080/01969722.2019.1660541
[ULIR]

2019

Autonomous Vehicles and Embedded Artificial Intelligence: The Challenges of Framing Machine Driving Decisions
Cunneen M.;Mullins M.;Murphy F.
(2019) Autonomous Vehicles and Embedded Artificial Intelligence: The Challenges of Framing Machine Driving Decisions
In Applied Artificial Intelligence;
DOI: 10.1080/08839514.2019.1600301

2019

Artificial intelligence assistants and risk: framing a connectivity risk narrative
Cunneen M.;Mullins M.;Murphy F.
(2019) Artificial intelligence assistants and risk: framing a connectivity risk narrative
In Ai And Society;
DOI: 10.1007/s00146-019-00916-9
[ULIR]

2019

From semi to fully autonomous vehicles: New emerging risks and ethico-legal challenges for human-machine interactions
Bellet T.;Cunneen M.;Mullins M.;Murphy F.;Pütz F.;Spickermann F.;Braendle C.;Baumann M.
(2019) From semi to fully autonomous vehicles: New emerging risks and ethico-legal challenges for human-machine interactions
In Transportation Research Part F: Traffic Psychology And Behaviour; pp. 153-164
DOI: 10.1016/j.trf.2019.04.004
[ULIR]

2018

Artificial Driving Intelligence and Moral Agency: Examining the Decision Ontology of Unavoidable Road Traffic Accidents through the Prism of the Trolley Dilemma
Cunneen M.;Mullins M.;Murphy F.;Gaines S.
(2018) Artificial Driving Intelligence and Moral Agency: Examining the Decision Ontology of Unavoidable Road Traffic Accidents through the Prism of the Trolley Dilemma
In Applied Artificial Intelligence;
DOI: 10.1080/08839514.2018.1560124

Other Journals

2021

Algorithmic Trading, High-frequency Trading: Implications for MiFID II and Market Abuse Regulation (MAR) in the EU
Rabeea Sadaf, Orla McCullagh, Barry Sheehan, Colette Grey, Erin King, Martin Cunneen
(2021) Algorithmic Trading, High-frequency Trading: Implications for MiFID II and Market Abuse Regulation (MAR) in the EU
In SSRN; Online :

2021

Creating Ethics Guidelines for Artificial Intelligence (AI) and Big Data Analytics: The Case of the European Consumer Insurance Market
Professor Chris Holland, Professor Martin Mullins and Dr Martin Cunneen
(2021) Creating Ethics Guidelines for Artificial Intelligence (AI) and Big Data Analytics: The Case of the European Consumer Insurance Market
In SSRN; Online : SSRN
DOI: http://dx.doi.org/10.2139/ssrn.3808207

Conference Contributions

2020

Electronomous International Mobility
Martin Cunneen
(2020) Electronomous International Mobility
Online

2020

Robophilosophy
Martin Cunneen
(2020) Robophilosophy
Aarhus University

2019

5th International Conference on the History and Philosophy of Computing
Martin Cunneen
(2019) 5th International Conference on the History and Philosophy of Computing
University of Bergamo, Italy

2018

Anticipatory technologies – data and disorientation
Martin Cunneen and Martin Mullins
(2018) Anticipatory technologies – data and disorientation
Faculty of Arts and Social Sciences, Maastricht, The Netherlands

Abstracts

2017

The Issue of Agency in AI; The Case of Automated Driving
Martin Cunneen
(2017) The Issue of Agency in AI; The Case of Automated Driving