Biography

Dr Martin Cunneen is a lecturer in Data Analytics and Risk Governance in the Accounting and Finance dept. in the Kemmy Business School, University of Limerick. His modules on AI and Data Risk, Ethics and Governance are part of UL's MSc programs, including Ireland's National AI MSc and the MSc in Business Analytics. Dr Cunneen focuses on investigating the science of Data Analytics in terms of broader societal relations, risk, ethics and governance. A key component is to practice research-led teaching and to engage students with research questions and topics relating to:

  • AI Governance, Risk & Ethics
  • Tech Governance theory
  • Explainable AI (XAI)
  • Algorithmic Bias
  • Black Box decision making
  • Data Profiling
  • Data Commercialisation and business models
  • Autonomous Vehicle Decision making
  • InsurTech
  • AI Assistants (Language theory & NLP)

He is also interested in AI and technology for social good, especially innovation to support climate risk mitigation. He is a senior member of Kemmy Business School's Emerging Risk Group and continually works with international consortiums to carry out funded research. He has completed two funded EU Horizon projects on Autonomous Vehicles and researched machine decisionality.

Dr Cunneen is currently co-PI on funded projects:

1. Anti-FinTer EU funded Horizon project on "Versatile artificial intelligence investigative technologies for revealing online cross-border financing activities of terrorism"

2. EMPOWER Science Foundation Ireland's project on Data Governance: "The research will focus on developing a data ecosystem that benefits all users while defining and safeguarding the rights of data sharers."

3. Smart City and Citizen Science (Lero project) empowering citizens by using data analytics for social good. The project focuses on enabling citizens to make more informed decisions concerning climate risk, SDGs, mobility, and sustainability. I am co-supervising a three-year postdoc to develop a decision support tool that empowers citizen voice and decision making.



Research Interests

    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, and community programming projects, to Big Data, his research continually examines the complexities of socio-technological relations. In developing his research, he has fashioned unique frameworks to support multi-stakeholder engagement in socio-technological risk and ethics. His research is also backed 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. Through domestic and international networks, he continues to collaborate with large research consortia, including a number of SFI, and EU Horizon research projects. 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.

    Currently supervising 13 MSc student dissertations:


    (a) AI/Data Governance
    1. An Embedded Ethical Framework for Software development Pipeline
    2. Factors Affecting Cryptocurrency Acceptance As A Financial Tool
    3. A Critical Assessment of AdTech's strategic response to the GDPR
    4. Impacts of Risk Analysis using Blockchain in Insurance

    (b) Climate Risk Mitigation
    5. A novel solution for satellite imagery and Carbon quantification of soil types
    6. Assessing the utility of a citizen decision support tool for climate risk mitigation with XAI
    7. Smart Cities and Autonomous vehicles and anticipating the Financial Impacts
    8. Anticipating the impacts of climate change, and extreme weather events on the insurance industry
    9. ESG analytics through Green Stats
    10. Assessing world trade policies in the battle against climate change
    11. Data insights from analysing the effects of Climate Change and Rising Sea Levels on Coastal Populations

    (c) Covid-19 Research
    12. A critical Data Governance assessment of global Covid APPs
    13. Does the pandemic alter the customer perception of insurance? A Study


    Currently supervising two PhD students

    1. XAI in Insurance
    2. Developing a company-specific innovative framework for inhouse data analytics to provide a decision support platform

    Seeking a Post doc (3yr fully funded role):
    To work with me on the development of a decision support tool for citizen empowerment (sustainability/circularity and mobility)

Professional Activities

Award

  • 2022 - KBS Faculty Teaching Excellence Award

Association

  • Irish Software Foundation, SFI LERO

Outreach

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

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
  • KBS EDI committee,
  • UL40 Mature Student Scholarship Committee,

Other

  • 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.
  • 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.
  • Worked on several environmental focused EU research funding applications since 2020. These range from smart farming, and wildfire risk management to climate-related disaster risk management. A key one for me was the 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."
  • 2022- collaborating across Irish third-level institutions to develop climate risk mitigation strategies based upon citizen participation and empowerment.
  • 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." 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- collaborating with international colleagues to develop innovative strategies for online education that enable greater student participation and inclusion.

Peer Reviewed Journals

2021

Precaution as a Risk in Data Gaps and Sustainable Nanotechnology Decision Support Systems: a Case Study of Nano-Enabled Textiles Production

Furxhi I.;Murphy F.;Poland C.A.;Cunneen M.;Mullins M. (2021) Precaution as a Risk in Data Gaps and Sustainable Nanotechnology Decision Support Systems: a Case Study of Nano-Enabled Textiles Production. Nanoethics :245-270

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2021

Surveillance and privacy â€' Beyond the panopticon. An exploration of 720-degree observation in level 3 and 4 vehicle automation

(2021) Surveillance and privacy â€' Beyond the panopticon. An exploration of 720-degree observation in level 3 and 4 vehicle automation. Technology In Society

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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. Patterns

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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. Risk Management And Insurance Review :5-35

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2021

Ethical AI for Automated Bus Lane Enforcement

Caitriona Lannon, John Nelson and Martin Cunneen (2021) Ethical AI for Automated Bus Lane Enforcement. Sustainability

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2020

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.; (2020) Autonomous Vehicles and Avoiding the Trolley (Dilemma): Vehicle Perception, Classification, and the Challenges of Framing Decision Ethics. Cybernetics And Systems

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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. Ai And Society

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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. Transportation Research Part F: Traffic Psychology And Behaviour :153-164

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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. Applied Artificial Intelligence

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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. Applied Artificial Intelligence

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Books

This author has not written any publications of this type yet.

Book Chapters

2020

Could Autonomous Vehicles Become Accidental Autonomous Moral Machines?

Martin Cunneen (2020) Could Autonomous Vehicles Become Accidental Autonomous Moral Machines?. Germany : IOS Press Culturally Sustainable Social Robotics :563-569

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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. London : CLAWAR Hybrid Worlds: Societal and Ethical Challenges CLAWAR Association Series on Robot Ethics and Standards :65-76

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Edited Books

This author has not written any publications of this type yet.

Other Journals

2022

Explainable Artificial Intelligence (Xai) in Insurance: A Systematic Review

Emer Owens, Barry Sheehan, Martin Mullins, Martin Cunneen, Juliane Ressel (2022) Explainable Artificial Intelligence (Xai) in Insurance: A Systematic Review. SSRN

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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. Online SSRN

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Conference Publications

2022

Conference, INTED 2022, 7-8 March, 2022.

Monett, Lemke, Cunneen, Coulter, Blomfield, & Faustmann (2022) Conference, INTED 2022, 7-8 March, 2022..

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2020

Frontiers in Artificial Intelligence and Applications

Cunneen M. (2020) Frontiers in Artificial Intelligence and Applications. Frontiers In Artificial Intelligence And Applications :563-569

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Conference Contributions

2021

3rd CSEAR IRELAND Building (back?) for the Common Good

Martin Cunneen (2021) 3rd CSEAR IRELAND Building (back?) for the Common Good.

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2021

TECHNGI Conference: Session 1. AI and Digital Ethics in Insurance Markets: International Perspectives

Martin Cunneen (2021) TECHNGI Conference: Session 1. AI and Digital Ethics in Insurance Markets: International Perspectives.

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2020

Electronomous International Mobility

Martin Cunneen (2020) Electronomous International Mobility.

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2020

Robophilosophy

Martin Cunneen (2020) Robophilosophy.

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2019

5th International Conference on the History and Philosophy of Computing

Martin Cunneen (2019) 5th International Conference on the History and Philosophy of Computing.

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2018

Anticipatory technologies – data and disorientation

Martin Cunneen and Martin Mullins (2018) Anticipatory technologies – data and disorientation.

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Published Reports

This author has not written any publications of this type yet.

Editorials

This author has not written any publications of this type yet.

Book Reviews

This author has not written any publications of this type yet.

Other Publications

2022

Correction to: Precaution as a Risk in Data Gaps and Sustainable Nanotechnology Decision Support Systems: a Case Study of Nano‑Enabled Textiles Production (NanoEthics, (2021), 15, 3, (245-270), 10.1007/s11569-021-00400-z)

Furxhi I.;Murphy F.;Poland C.A.;Cunneen M.;Mullins M. (2022) Correction to: Precaution as a Risk in Data Gaps and Sustainable Nanotechnology Decision Support Systems: a Case Study of Nano‑Enabled Textiles Production (NanoEthics, (2021), 15, 3, (245-270), 10.1007/s11569-021-00400-z). Nanoethics :193-194

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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.

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