Imagining Resilient Courts: From COVID to the Future of Canada's Judicial System

Matyas, David; Wills, Peter; Dewitt, Barry

doi:10.2139/ssrn.3778869

Cited by 4 publications

(2 citation statements)

References 71 publications

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“…dockets) of all legal cases lacks intelligibility to most citizens [3,4]. Moreover, this complexity has raised concerns about assisting the public with fair access to justice and judicial information [5,6], especially after the COVID pandemic judicial system has taken overdue in their court cases [7,8].…”

Section: Introductionmentioning

confidence: 99%

RISC: Generating Realistic Synthetic Bilingual Insurance Contract

Beauchemin

Khoury

2023

Proceedings of the Canadian Conference on Artificial Intelligence

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This paper presents RISC, an open-source Python package data generator 1 . RISC generates look-alike automobile insurance contracts based on the Quebec regulatory insurance form in French and English. Insurance contracts are 90 to 100 pages long and use complex legal and insurance-specific vocabulary for a layperson. Hence, they are a much more complex class of documents than those in traditional NLP corpora. Therefore, we introduce RISCBAC, a Realistic Insurance Synthetic Bilingual Automobile Contract dataset based on the mandatory Quebec car insurance contract. The dataset comprises 10,000 French and English unannotated insurance contracts. RISCBAC enables NLP research for unsupervised automatic summarisation, question answering, text simplification, machine translation and more. Moreover, it can be further automatically annotated as a dataset for supervised tasks such as NER.

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Section: Introductionmentioning

confidence: 99%

RISC: Generating Realistic Synthetic Bilingual Insurance Contract

Beauchemin

Khoury

2023

Proceedings of the Canadian Conference on Artificial Intelligence

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“…These concepts have gained more pertinence today as the world faces economic and political instabilities triggered by war, climate change, inflation, collective distress, and the aftermaths of the COVID-19 pandemic [1,2]. Several organizations such as hospitals, courts, businesses, factories, and laboratories have been solidifying their operations against internal disturbances with applied resilience or survivability, understanding that uncertainties from the outside world can have a massive influence on general performance [3][4][5][6][7][8][9][10]. Since before the onset of the pandemic, several theories have arisen to suggest alternative ways to architect systems that can withstand and even leverage adverse events [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Expanding Fundamental Boundaries between Resilience and Survivability in Systems Engineering: A Literature Review

Martínez

Chipperfield

2023

Sustainability

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The pressures of an everchanging world have impacted the ways in which service-based systems operate, along with their forms and boundaries. Resilience and survivability have been treated interchangeably when readying a system to remain true to its functions despite disturbances. Some situations prove the concepts may not always be the equivalent of the other, not even the consequence of the other. There may come scenarios where system components fail to adhere to certain predefined thresholds and cross a breaking point. It is therefore proposed in this study that systems can be survivable, instead of resilient, when they comply in time with the resurgence property. This property signifies the systematic behavior of overcoming a certain stagnation period and, after a time range, return as a transformed system with new functions and challenges. Through this study, it was detected that the symmetries between resilience and survivability are only superficial if systems suffer breakages after misconceiving the true causes of failure. Still, a lack of consensus among scientists and practitioners remains an issue when applying resilience and survivability in their own problems. Although workful, pushing to achieve a greater consensus would signify optimal performance in multifaceted systems involving technical, social, and economic challenges.

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