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Enregistrement W307199044

IADC International Law Committee Survey of Electronic Discovery and Data Privacy Law

2010· article· en· W307199044 sur OpenAlexaboutno aff
James M. Sullivan

Notice bibliographique

RevueDefense Counsel Journal · 2010
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueLegal Rights and Human Rights
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésObligationDirective on Privacy and Electronic CommunicationsDirectiveConfidentialityInformation privacy lawLawPrivacy lawData Protection DirectiveInformation privacyPersonally identifiable informationStatuteEuropean unionBusinessMember stateFTC Fair Information PracticeData Protection Act 1998Political sciencePrivacy policyEuropean Union lawMember statesComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

THE INTRODUCTION of computers and email into the workplace and everyday life has dramatically increased the information available to employers, regulators and litigants. Often this information is confidential or of a nature. This puts into conflict the obligation to disclose information and the obligation to keep private information confidential. It is interesting to see how different jurisdictions have chosen to resolve this conflict. The European Union has produced a Data Protection Directive (1) that has been implemented, in varying degrees, in its member states. The EU Directive broadly defines personal to mean information relating to an identified or identifiable person. Each member state has considered how best to integrate and implement that directive in their nation. The survey of French data privacy laws, in particular, provides an example of the pitfalls that United States corporations may face in complying with United States law in the face of the EU Directive. Common law counties such as Canada and New Zealand have also had to deal with the conflict between broad obligations of disclosure and and private confidentiality concerns. In Canada, there are ongoing changes to disclosure rules in many of the provinces the goal of which is limiting the traditionally broad disclosure obligations. Further, statutes have been enacted such as the Personal Information Protection and Electronic Documents Act, (2) to provide guidelines for the production of confidential information. Similarly, New Zealand has enacted the Privacy Act 1993 to establish the parameters for the collection, handling and use of information. In both Canada and New Zealand, there is the development of the common law concept of a tort of invasion of privacy. It is fascinating to compare how the various jurisdictions have handled this complex and sensitive issue. I thank each of the contributors for their thoughtful and useful essays. Canada Canada is a federal country and as a result has a patchwork of privacy and data protection laws governing the collection, use, and disclosure of information. However, most legislation defers to the court process. Recent changes to rules of civil procedure which limit the scope of discovery, including e- discovery show a trend away from the broad disclosure law obligations for disclosure to a proportional principle of discovery. (3) The current privacy laws in Canada generally exempt disclosure in a legal proceeding, including electronic documents, from statutory restrictions. (4) Under the Personal Information Protection and Electronic Documents Act, information may be collected and used without consent in investigating a breach of an agreement or a contravention of law. (5) Section 7(3)(c) allows information to be disclosed without consent if the disclosure is required to comply with rules of court relating to the production of records or a court (6) Under Section 8(8), if the organization has the information that is being requested, it must retain the information for as long as necessary to allow the individual to exhaust any recourse that they may have to obtain the information. (7) The Personal Information Protection Acts includes a broad exemption for litigation discovery. Section 3(4) expressly states that it does not limit the information available by law to a party to a proceeding. The courts have upheld Sections 7(3)(c) and 8(8) of PIPEDA as to third-- party internet service providers in BMG v. Doe, stating that ... ISPs are not entitled to 'voluntarily' disclose information such as the identities requested except with the customer's consent or pursuant to a court order. (9) Practically speaking, a third-party organization who is requested to hand over information would probably request a court order before doing so. PIPEDA's approach to litigation differs slightly from similar legislation in British Columbia, Alberta, and Quebec. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,031
score de la tête « metaresearch » (Gemma)0,049
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,059
Score d'incertitude au seuil0,163

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0310,049
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0230,031
Études des sciences et des technologies0,0060,005
Communication savante0,0180,010
Science ouverte0,0040,005
Intégrité de la recherche0,0090,008
Charge utile insuffisante (le modèle a refusé de juger)0,0220,010

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,043
Tête enseignante GPT0,331
Écart entre enseignants0,289 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2010
Routes d'admission1
Résumé présentoui

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