Characteristics of Safe AI Systems

Enhancing LLM Safety through Alignment

Guidelines for Safe and Responsible AI Use

Researcher Calls for Cautious AI Development

LLM Alignment

AI System Development Scenario

A technology company develops a powerful new AI model capable of writing computer code. The model is highly efficient and can generate complex software in minutes. However, it is discovered that the model sometimes generates code with subtle security vulnerabilities that could be exploited by malicious actors. This discovery primarily highlights a failure in which area of AI development?

Unintended Consequences of AI Optimization

Go/No-Go Decision for an Internal LLM: Safety, Bias, Privacy, and Refusal Behavior

Post-Incident Root Cause and Remediation Plan for an LLM Feature Release

Design Review: Training Data and Safety Controls for a Customer-Facing LLM

Triage Plan for a Safety/Bias/Privacy Incident in a Customer-Facing LLM

Vendor LLM Procurement Decision: Balancing Safety, Bias, Privacy, and Refusal Alignment

Pre-Launch Risk Acceptance Memo for a Regulated-Industry LLM Assistant

You lead an internal review board deciding whether...

You are reviewing an internal LLM pilot and need t...

You are the product owner for a customer-support L...

You are the risk lead for a company rolling out an...