Caremark’s Climate Failure
Notice bibliographique
Résumé
Unless U.S. corporations take steps to harden their assets against natural disasters exacerbated by climate change and prepare for the transition to a zero-carbon economy, they face the prospect of catastrophic risk to their assets and market values, damaging both shareholders and, particularly where there are systemic effects, society at large. But surveys indicate that directors of American corporations do not view climate change as an important focus for their boards. In contrast, directors in Australia and Canada consider climate change one of the top two priorities for their governments and one of the top challenges for their companies. Different standards of liability for directors’ oversight failures, despite shared common law roots, may explain the differing attitudes toward climate risks.\nIn Delaware, under In re Caremark International Inc. Derivative Litigation, failure to monitor corporate risks is reviewed for knowing disregard of duties under the duty of loyalty. The only cases that have survived dismissal have involved legal and accounting compliance failures, prompting leading lawyers to conclude that there is no duty to monitor noncompliance enterprise risks. In Australia, Canada, and the United Kingdom, on the other hand, directors are subject to liability for negligence in monitoring risks to the corporate enterprise, and their efforts are generally reviewed for reasonableness. As a result, leading lawyers in those other common law jurisdictions have opined that directors face a significant risk of liability for failure to monitor climate risks.\nIn short, Caremark has failed to encourage Delaware directors to be sufficiently attentive to one of the greatest risks of harm to their corporations in the twenty-first century. There are at least three ways that Delaware courts could clarify Caremark jurisprudence to improve directors’ incentives to be attentive to climate risks: (1) confirming that Caremark applies to compliance with laws that already require attention to climate risks; (2) clarifying that Caremark applies to failures to monitor significant risks to the business other than legal compliance risk; and (3) clarifying that the duty to monitor is, after all, a matter of the duty of care, subject to a gross negligence standard of liability, but that only the most egregious failures to monitor—those involving a knowing failure to satisfy the duty of care—establish a nonexculpable breach of the duty of loyalty.\nThe first approach is uncontroversial but limited. The second, applying Caremark’s oversight standard to enterprise risk management, has been unnecessarily controversial because it is framed as a question of institutional competence. When framed instead as an issue of expertise, it is apparent that there are several sources of expertise on which Delaware judges could rely to review risk-monitoring failures under the Caremark framework, including corporate expertise, third-party expertise, and social consensus. Finally, returning oversight to the duty of care makes intuitive sense, particularly in light of the common law approach, and can appeal to both proponents and critics of the Caremark standard.
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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 | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,006 | 0,002 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,010 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,034 | 0,007 |
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 ».