Predicting Corporate Risk with AI Foresight

New research demonstrates how artificial intelligence can anticipate the likelihood of disclosed corporate risks becoming real-world problems.

New research demonstrates how artificial intelligence can anticipate the likelihood of disclosed corporate risks becoming real-world problems.
New research explores the complex relationship between autistic individuals and AI chatbots like ChatGPT, revealing both empowering benefits and potential pitfalls.

A new reinforcement learning framework helps urban planners proactively design resilient transportation systems capable of weathering long-term climate change and minimizing disruption from flooding.

New research reveals that even highly capable AI systems can prioritize solving problems over recognizing and responding to urgent, real-world situations.
A new study analyzing 20,000 user interactions demonstrates how carefully designed AI systems can offer safer and more sensitive support for individuals grappling with mental health challenges.
As large language models become increasingly integrated into applications, a robust security framework is crucial, and this paper explores a novel approach using multi-agent systems to address common vulnerabilities.
A critical review explores the complex relationship between artificial intelligence and the climate crisis, questioning whether technology can truly deliver ecological sustainability.

This review details the architecture and key technologies for creating natural language query systems that unlock insights from complex financial data.
New research proposes a framework for establishing evidence-based risk thresholds for AI-powered cyberattacks, moving beyond qualitative assessments.
A new approach argues that current artificial intelligence needs a grounding in verifiable world models and shared understanding to ensure safety and reliability.