Martin Mullins
Academic
Prof. Martin Mullins is Co-Leader of the Emerging Risk Group, Kemmy Business School, University of Limerick, a Senior Lecturer in Risk and Insurance and a member of the Expert Group on Digital Ethics in EIOPA. He teaches on the inaugural national (Ireland) Msc programme in Artificial Intelligence in the area of risk and ethics. He is currently working on a number of risk governance related research projects, including four EU Commission funded projects in the area of emerging technologies and risk transfer. Two of these focuses on risk metrics, privacy and insurance in the area of assisted driving systems, namely VIDAS and Cloud-LSVA funded under the MG3.6 and ICT 16 calls respectively.
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2019. Artificial intelligence assistants and risk: framing a connectivity risk narrative. AI & Society.
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2018. Predicting Nanomaterials toxicity pathways based on genome-wide transcriptomics studies using Bayesian networks. 2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO).
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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. Applied Artificial Intelligence. 33:1-27.
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2018. Applying crash data to injury claims - an investigation of determinant factors in severe motor vehicle accidents. Accident Analysis & Prevention. 113:244-256.
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2018. Hazard Screening Methods for Nanomaterials: A Comparative Study. Int. J. Mol. Sci.
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2018. Reasonable, Adequate and Efficient Allocation of Liability Costs for Automated Vehicles: A Case Study of the German Liability and Insurance Framework. European Journal of Risk Regulation. 9:548–563.
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2018. Hazard Screening Methods for Nanomaterials: A Comparative Study . International journal of molecular sciences.
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2018. Reasonable, Adequate and Efficient Allocation of Liability Costs for Automated Vehicles: A Case Study of the German Liability and Insurance Framework. European Journal of Risk Regulation. 9:1-16.
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2018. Semiautonomous Vehicle Risk Analysis: A Telematics‐Based Anomaly Detection Approach. Risk Analysis. 39
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2017. Insuring nanotech requires effective risk communication. Nature Nanotechnology.
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