Towards a Right to Privacy in Transnational Intelligence Networks
Notice bibliographique
Résumé
Antiterrorism intelligence sharing across national borders has been trumpeted as one of the most promising forms of networked global governance. By exchanging information across the world, government agencies can catch terrorists and other dangerous criminals. Yet this new form of global governance is also one of the most dangerous. Even at the domestic level, secrecy and national security imperatives have placed intelligence agencies largely beyond legal and democratic oversight. But at the global level, accountability is missing entirely. Global cooperation among national intelligence agencies is extraordinarily opaque. The nature of the international system compounds the problem: these actors do not operate within a robust institutional framework of liberal democracy and human rights. Safeguarding rights in the transnational realm when governments conspire to spy, detain, interrogate, and arrest is no easy matter. Privacy is one of the most critical liberal rights to come under pressure from transnational intelligence gathering. This Article explores the many ways in which transnational intelligence networks intrude upon privacy and considers some of the possible forms of legal redress. Part II lays bare the different types of transnational intelligence networks that exist today. Part III begins the analysis of the privacy problem by examining the national level, where, over the past forty years, a legal framework has been developed to promote the right to privacy in domestic intelligence gathering. Part IV turns to the privacy problem transnationally, when government agencies exchange intelligence across national borders. Part V invokes the cause celebre of Maher Arar, a Canadian national, to illustrate the disastrous consequences of privacy breaches in this networked world of intelligence gathering. Acting upon inaccurate and misleading intelligence provided by the Canadian government, the United States wrongfully deported Arar to Syria, where he was tortured and held captive by the Syrian Military Intelligence Service for nearly one year. Part VI begins the constructive project of redesigning transnational networks to defend the right to privacy, with the safeguards of European intelligence and police networks serving as inspiration for transnational networks more broadly. These European systems feature two types of privacy safeguards: multilateral standards, to which all network parties must adhere, and unilateral standards, applicable under the law of one network party and enforced against the others through the refusal to share intelligence with sub-standard parties. Moving to the global realm, this Article concludes that the multilateral avenue is more promising than the unilateral one. Multilateral standards require consensus on common privacy norms, and consensus will be difficult to achieve. Notwithstanding this hurdle, multilateral privacy standards are crucial, for they will both enable the cooperation necessary to fight serious transnational crime and provide for vigorous protection of basic liberal rights.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,020 | 0,023 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,011 | 0,041 |
| Communication savante | 0,016 | 0,027 |
| Science ouverte | 0,002 | 0,013 |
| Intégrité de la recherche | 0,011 | 0,015 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».