First, separate 2 ideas: containers vs. quantization methods Most confusion comes from mixing 2 layers. A container defines how tensors […]
Category: AI governance
OpenAI Releases a Model Misalignment Disclosure Framework With 3 Review Tracks and 6 Incident Reports From RL Training
OpenAI has released a new framework for tracking, investigating, and disclosing misalignment in its own models. The OpenAI team announced […]
The Developer’s Guide to NeMo Guardrails for Enterprise AI Safety
In this tutorial, we build an in-depth NeMo Guardrails pipeline that demonstrates how layered guardrails can control an LLM-based financial […]
Enterprise AI Governance in 2026: Why the Tools Employees Use Are Ahead of the Policies That Cover Them
By the time a company’s legal team finishes drafting its generative AI acceptable use policy, a meaningful percentage of its […]
Top 19 AI Red Teaming Tools (2026): Secure Your ML Models
Table of contents What Is AI Red Teaming? Top 19 AI Red Teaming Tools (2026) Conclusion What Is AI Red […]
Widespread AI use needs changes to governance
The usage of core LLM providers has become nearly ubiquitous with OpenAI present in 96.0 percent of organizations, and Anthropic […]
Americans fear losing control of AI more than losing their jobs, study shows
New research suggests Americans are more worried about who controls AI, and how it’s governed, rather than about losing their […]
Governance is top priority for agentic AI users
Nearly 80 percent of IT professionals responding to a new survey rank governance as ‘extremely important,’ underscoring the fact that […]