Zobrazeno 1 - 10
of 165
pro vyhledávání: '"Negligence Law"'
Autor:
Burns, Kylie, author
Publikováno v:
Torts on Three Continents : Honouring Jane Stapleton, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780198889748.003.0005
Akademický článek
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Autor:
Karan Venter
Publikováno v:
Victoria University of Wellington Law Review. 51:127-154
True proportionality between the degree of a tortfeasor's fault and the extent of a plaintiff's loss is unachievable in negligence law in New Zealand. As Mallon J's judgment in Strathboss Kiwifruit Ltd v Attorney-General highlighted, the concept of p
Autor:
Chris Dent
Publikováno v:
Oxford Journal of Legal Studies. 40:158-182
‘Duty’ is a term that is used in several areas of the law—notably the ‘duty of care’ and ‘fiduciary duty’. This article considers the introduction of the term ‘duty’ itself to the law, before it became part of the compound terms. In
Akademický článek
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Autor:
Ishimwe, Rosine
This study was carried out in Musanze District, Northern Province of Rwanda. The general objective was to assess the status of medical negligence and malpractice in Musanze District, Rwanda. Both primary and secondary data were collected. Questionnai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6159448a4795212b0e511ae67c29fb0f
Autor:
Avraham D. Tabbach, Alon Cohen
Publikováno v:
American Law and Economics Review. 21:110-149
This article offers an analysis of negligence law in an environment with asymmetric information and costly signaling. We consider three possible variations of the negligence doctrine, based on its two elements—the standard of care and damages. We f
Publikováno v:
Interdisciplinary Neurosurgery, Vol 23, Iss, Pp 100970-(2021)
Medical negligence is a complicated area which we should continuously update ourselves on in order to stay on top of. This paper assesses the current state of negligence law in a clinician friendly way, including the most recent cases such as Tolias
Autor:
Andrés Páez
Publikováno v:
Scopus-Elsevier
The use of machine learning algorithms has become ubiquitous in hiring decisions. Recent studies have shown that many of these algorithms generate unlawful discriminatory effects in every step of the process. The training phase of the machine learnin