Bank Executives' Strategies for Operational Resilience Amidst Crisis

This qualitative study involving eight bank executives explored self-perceived factors affecting operational resilience and strategies for improvement. Themes that emerged included financial stability, technology, risk management, remote capabilities, effective communication, and customer engagement. These strategies aimed to enhance operational resilience in the banking industry during crises.

Neural networks for insurance pricing with frequency and severity data.

The paper explores the use of machine learning, particularly deep learning techniques, in insurance pricing by modeling claim frequency and severity data. It compares the performance of various models, including generalized linear models and neural networks, on insurance datasets with diverse input features. The authors use autoencoders to process categorical variables and create surrogate models for neural networks to translate insights into practical tariff tables.

Risk Management for Artificial General Intelligence by Limited Liability Company

The rise of generative AI and chatbots has brought Artificial General Intelligence (AGI) closer. The EU AI Act mentions general-purpose AI systems. While technical and ethical challenges in AGI are debated, organizational risk management is crucial. This paper suggests using LLCs as business entities for AGI systems to mitigate investor risks and promote AGI businesses through vertical and horizontal liability shields.

Cyber Insurance Risk: Reporting Delays, ThirdParty Cyber Events, and Changes in Reporting Propensity

Amid growing cyber threats, research on cyber insurance risk has been limited by data constraints. This paper addresses this gap by utilizing overlooked public data from U.S. state Attorneys General, offering insights into the actual scope of cyber insurance risk. The data, derived from mandatory data breach reporting, provides valuable information for pricing, reserving, underwriting, and experience monitoring in the cyber insurance industry.

A Comparison between Sustainability Frameworks

Implementing Agenda 2030 and its global Sustainable Development Goals (SDGs) requires a concerted effort from institutions and the private sector. Sustainable Finance plays a crucial role in achieving this. International directives like Sustainability Reporting are shaping the landscape, emphasizing ESG criteria. This paper compares various sustainability frameworks and highlights the importance of ESG criteria for sustainability analyses and portfolio selection. It also suggests an integrated ERM framework to align sustainability with financial decisions, enhancing coherence with SDGs and facilitating cross-framework integration.

Generative AI and the Workforce: What Are the Risks?

This paper finds that 38.9% of tasks in jobs involve large language models, with 80% of workers spending 20% of their time on such tasks.Its mapping of risk exposure shows that LLMs directly expose 12.4% of tasks to privacy risks, 13.7% to cybersecurity risks, 13.6% to breach in professional standards risks, 14.1% to unethical or harmful bias risks, 10.6% to misinformation and manipulation risks, 26.4% to safety and physical harm risks, 26% to liability and accountability risks and 9.8% to intellectual property risks.