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14 articles
This article explains the 'paces the frontier' concept that Anthropic CEO Dario Amodei advocates for, detailing how controlled AI development can balance innovation with safety.
This article explains the concept of AI security incident response and why Sam Altman's decision to decelerate AI development reflects growing concerns about AI system safety and security.
This article explains the technical and economic principles behind peer-to-peer insurance, how it uses smart contracts and machine learning, and why it's gaining traction in the insurance industry.
Bank of England deputy governor Sarah Breeden warns that AI-driven trading agents could amplify market volatility and trigger dangerous feedback loops, calling for new regulatory frameworks.
The Bank for International Settlements warns that an AI investment bust could trigger credit market disruptions comparable to the 2008 financial crisis.
Taktile has raised $110 million in Series C funding led by Goldman Sachs Alternatives to automate high-risk decisions in banking and insurance.
This article explores the complex concept of trustworthiness in AI leadership, examining how it impacts governance, risk management, and the future of artificial intelligence development.
BMO Financial Group has filed a provisional patent for a quantum algorithm aimed at predicting earthquakes, signaling a new intersection of finance and geoscience. The bank is also deploying mobile branches with AI dispatch systems to wildfire zones to enhance customer support and resilience.
This explainer explores Mend.io's new AI Security Governance Framework, detailing how it addresses AI system risks through asset inventory, risk tiering, supply chain security, and maturity models.
This explainer explores Mend.io's comprehensive AI security governance framework that addresses asset inventory, risk tiering, supply chain security, and maturity modeling for AI systems.
This article explains the concept of AI incident response, how it differs from traditional IT incident response, and why it's critical for organizations deploying AI systems.
Companies are adopting AI more cautiously, using it as a decision-support tool rather than full automation, especially in high-risk sectors. This approach balances innovation with accountability and regulatory compliance.
