948 resultados para Legal Evidence.


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Lennart Åqvist (1992) proposed a logical theory of legal evidence, based on the Bolding-Ekelöf of degrees of evidential strength. This paper reformulates Åqvist's model in terms of the probabilistic version of the kappa calculus. Proving its acceptability in the legal context is beyond the present scope, but the epistemological debate about Bayesian Law isclearly relevant. While the present model is a possible link to that lineof inquiry, we offer some considerations about the broader picture of thepotential of AI & Law in the evidentiary context. Whereas probabilisticreasoning is well-researched in AI, calculations about the threshold ofpersuasion in litigation, whatever their value, are just the tip of theiceberg. The bulk of the modeling desiderata is arguably elsewhere, if one isto ideally make the most of AI's distinctive contribution as envisaged forlegal evidence research.

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This Acknowledgement refers to the special issue "Formal Approaches to Legal Evidence" of the Artificial Intelligence and Law, September 2001, Vol. 9, Issue 2-3, which was guest edited by Ephraim Nissan.

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This special issue "Formal Approaches to Legal Evidence" of the Artificial Intelligence and Law, September 2001, Vol. 9, Issue 2-3, which was guest edited by Ephraim Nissan.

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In judicial decision making, the doctrine of chances takes explicitly into account the odds. There is more to forensic statistics, as well as various probabilistic approaches which taken together form the object of an enduring controversy in the scholarship of legal evidence. In this paper, we reconsider the circumstances of the Jama murder and inquiry (dealt with in Part I of this paper: "The Jama Model. On Legal Narratives and Interpretation Patterns"), to illustrate yet another kind of probability or improbability. What is improbable about the Jama story, is actually a given, which contributes in terms of dramatic underlining. In literary theory, concepts of narratives being probable or improbable date back from the eighteenth century, when both prescientific and scientific probability was infiltrating several domains, including law. An understanding of such a backdrop throughout the history of ideas is, I claim, necessary for AI researchers who may be tempted to apply statistical methods to legal evidence. The debate for or against probability (and especially bayesian probability) in accounts of evidence has been flouishing among legal scholars. Nowadays both the the Bayesians (e.g. Peter Tillers) and Bayesioskeptics (e.g. Ron Allen) among those legal scholars whoare involved in the controversy are willing to give AI researchers a chance to prove itself and strive towards models of plausibility that would go beyond probability as narrowly meant. This debate within law, in turn, has illustrious precedents: take Voltaire, he was critical of the application or probability even to litigation in civil cases; take Boole, he was a starry-eyed believer in probability applications to judicial decision making (Rosoni 1995). Not unlike Boole, the founding father of computing, nowadays computer scientists approaching the field may happen to do so without full awareness of the pitfalls. Hence, the usefulness of the conceptual landscape I sketch here.

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In judicial decision making, the doctrine of chances takes explicitly into account the odds. There is more to forensic statistics, as well as various probabilistic approaches, which taken together form the object of an enduring controversy in the scholarship of legal evidence. In this paper, I reconsider the circumstances of the Jama murder and inquiry (dealt with in Part I of this paper: 'The JAMA Model and Narrative Interpretation Patterns'), to illustrate yet another kind of probability or improbability. What is improbable about the Jama story is actually a given, which contributes in terms of dramatic underlining. In literary theory, concepts of narratives being probable or improbable date back from the eighteenth century, when both prescientific and scientific probability were infiltrating several domains, including law. An understanding of such a backdrop throughout the history of ideas is, I claim, necessary for Artificial Intelligence (AI) researchers who may be tempted to apply statistical methods to legal evidence. The debate for or against probability (and especially Bayesian probability) in accounts of evidence has been flourishing among legal scholars; nowadays both the Bayesians (e.g. Peter Tillers) and the Bayesio-skeptics (e.g. Ron Allen), among those legal scholars who are involved in the controversy, are willing to give AI research a chance to prove itself and strive towards models of plausibility that would go beyond probability as narrowly meant. This debate within law, in turn, has illustrious precedents: take Voltaire, he was critical of the application of probability even to litigation in civil cases; take Boole, he was a starry-eyed believer in probability applications to judicial decision making. Not unlike Boole, the founding father of computing, nowadays computer scientists approaching the field may happen to do so without full awareness of the pitfalls. Hence, the usefulness of the conceptual landscape I sketch here.

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Mode of access: Internet.

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Every year throughout the world, individuals' health is damaged by their exposure to toxic chemicals at work. In most cases these problems will resolve, but many will sustain permanent damage. Whilst any justified claim for compensation requires medical and legal evidence a crucial and often controversial component of this process is the establishment of a causal link between the individual's condition and exposure to a specific chemical or substance. Causation, in terms of how a substance or substances led the claimant to his or her current plight, can be difficult to establish and the main purpose of this book, is to provide the aspiring expert report writer with a concise, practical guide that uses case histories to illuminate the process of establishing causation in occupational toxicity proceedings. In summary: A practical, accessible guide to the preparation of balanced, scientifically sound expert reports in the context of occupational toxicology. Focuses on the scientist's role in establishing a causal link between exposure to toxins and an individual's ill health. Includes real-life case histories drawn from the Author's 15 years experience in this area to illustrate the principles involved. Expert Report Writing in Toxicology: Forensic, Scientific and Legal Aspects proves invaluable to scientists across a range of disciplines needing guidance as to what is expected of them in terms of the best use of their expertise and how to present their findings in a manner that is authoritative, balanced and informative.

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A autora parte da premissa de que a prova pericial dá ensejo a equívocos e, por isso, sua produção deve ser rigorosamente controlada. A partir do enfoque histórico, a autora demonstra como a separação de questões de fato e de direito serve de instrumento ao controle judicial da prova pericial, que deve ser promovido desde a fase da admissibilidade a da valoração, sempre levando em consideração o debate real entre as partes. A autora dedicou grande parte da pesquisa ao estudo do direito probatório da common law, aos precedentes Frye, Daubert, Joiner e Kumho, bem como a outros casos marcantes, para fundamentar seu entendimento de que é tão importante o exame da admissibilidade da prova, como da sua valoração. O controle em todas as etapas da prova pericial, possível de lege lata no Brasil, visa à obtenção de prova idônea, sem a qual não é possível chegar a um resultado legítimo amparado em dados racionais.

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No decorrer dos últimos anos vêm ocorrendo uma demanda crescente da utilização de serviços periciais nos mais diversos campos. No campo contábil, especificamente no contexto dos crimes previdenciários, a gama de serviços periciais contábeis prestados às lides forenses aumenta a cada dia que passa. Este estudo trata da perícia contábil como meio de prova para materialização do crime de apropriação indébita previdenciária. O desenvolvimento do tema foi efetuado a partir da pesquisa efetuada por Oliveira (2012), que comprovou a relação existente entre tipo penal e a prova pericial contábil, bem como de interpretações da legislação pertinente, no caso, a Constituição da República Federativa do Brasil, Código Penal, Código do Processo Penal e Normas Brasileiras de Contabilidade aplicáveis à perícia. Esta dissertação teve por objetivo a proposição de metodologia para realização de exames periciais que visam a comprovação do cometimento do crime de apropriação indébita previdenciária. A pesquisa empírica foi realizada num total de 79 laudos contábeis emitidos pela criminalística da Polícia Federal no período de junho de 2006 a junho de 2011, envolvendo os exames periciais sobre o crime de apropriação indébita previdenciária, para verificar a natureza das provas utilizadas nestes exames, e, por conseguinte, reunir o conjunto probatório utilizado. Como resultado da pesquisa realizada, foi apresentada uma metodologia para realização de exames periciais contendo o conjunto probatório considerado essencial para a materialização do crime de apropriação indébita previdenciária.

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National Highway Traffic Safety Administration, Washington, D.C.

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National Highway Traffic Safety Administration, Office of Driver and Pedestrian Programs, Washington, D.C.

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Transportation Systems Center, Cambridge, Mass.

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National Highway Traffic Safety Administration, Washington, D.C.