A Framework for Taking AI Pilots from Experiment to Enterprise
This framework provides phased validation, continuous integration, and comprehensive risk management, empowering firms to transition from pilot to enterprise …
Topic: Reasonable AI
AI Readiness is the Real Race – So Why Aren’t Organizations Set Up to Win?
As more organizations race to showcase AI capabilities, it’s easy to feel pressure to move fast. But AI readiness isn’t about speed. It’s about building …
Shadow MCP: Find the Ghosts Hiding in Your Codebase
Model Context Protocol (MCP) could cause unauthorized connections to AI models in your codebase. This article explains how.
Can You Trust that AI Image? New Standards Efforts Seek to Assure Confidence in AI
International standards provide guardrails for the responsible, safe and trustworthy development of AI, making them invaluable tools for regulators and …
AI: The Inherent Risks of the World’s Largest Lossy Compression System
Understanding the nature of how modern AI distills, stores, and reconstructs the world’s knowledge and the dangers it
How Synthetic Data Can Reduce Different Types of Biases Across Industries
Responsible AI development demands an ongoing commitment to mitigate bias throughout the system's life cycle. And synthetic data is an effective way to do …
Why Thinking Time is Integral to AI
It turns out that giving AI models time to think before returning answers provides better quality answers. Lilian Weng explains
Vibing on AI Governance
As vibe coding makes its way into the enterprise and AI continues to evolve, it underscores the importance of applying the previous lessons learned through …
Beware of Vengeful AI Agents
In simulated experiments, testers showed how easily AI agents can adopt self-preservation tactics when placed in high-stakes scenarios. Specifically, similar …
How Domain-Aware AI Is Transforming F&B Compliance
In an industry where one bad batch can mean millions of losses, or worse, trustworthy and context-aware AI is a critical ingredient in building a safer, …