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“... the collaborative game provides executives and business leaders with insight into cyber-risk management issues, thereby improving their results through deeper learning.”
“Using cybersecurity certification as the basis for providing a complete defense to liability may not prevent every harm from occurring. However, if organizations invest in certification to avoid legal liability, this should collectively improve the resilience and quality of technology products in the United States and beyond.”
Security risk analysis techniques involve identifying security threats in software systems and planning countermeasures. Automation and knowledge reuse aid analysts, but they must interpret and assess tool outcomes, which can be biased. A review of 22 studies highlights conflicting conclusions on human factors in security risk analysis and identifies gaps in literature.
“... this article provides anchorage to scholarly audiences when scrutinizing the extent to which privacy and security measures qualify as ‘appropriate’ in the context of liability claims and actions for damages, thereby creating an opportunity to move from technical insight to legal compliance.”
“Our results have implications for insurance contract design, particularly in the realm of long-term contracting.”
“This paper provides a comprehensive analysis of the recent EU AI Act, the regulatory framework surrounding Artificial Intelligence (AI), focusing on foundation models, open-source exemptions, remote biometric identification (RBI), copyright, high-risk classification, innovation, and the implications for fundamental rights and employment.”
“This study explores the impact of AI on auditing through a Systematic Literature Review to develop a Conceptual Framework for auditing practices.”
“… we aim to provide a summary of the evolving landscape of AI applications in finance and accounting research and project future avenues of exploration.”
“... we construct a novel factor to measure the aggregate physical climate risk in the financial market and discuss its applications, including the assessment of insurers’ exposure to climate risk and the expected capital shortfall of insurers under climate stress scenarios.”
The study delves into optimizing reinsurance amidst uncertainty, aiming to minimize insurer's worst-case loss. It establishes a connection between optimal strategies under a reference measure and those in worst-case scenarios, applicable to tail risk quantification. Conditions for common optimal solutions are provided, with applications to expectile risk measures explored. Cooperative and non-cooperative models are compared.