The problem of AI ethics
Your AI ethics framework is already obsolete. Here's why regulation can't keep pace with a technology that rewrites itself every 18 months.

Why it matters
This is a foundational analysis of why traditional regulatory approaches fail for AI—raising critical questions for leaders about compliance strategy, future-proofing, and the gap between policy timelines and AI velocity.
The key facts
4 to knowAI technology lifecycle: shifts entirely every 18 months
Core problem: regulatory frameworks designed for static technology applied to rapidly evolving systems
Cross-industry applicability creates conflicting ethical requirements
Author: Benedict Evans (prominent AI strategist)
Go to the source
Benedict Evansben-evans.com
Publisher excerpt: Can you write laws, or lay down ethical principles, for a technology that will be used in entirely different ways, for different purposes, in different industries? What does that mean if it’s changing entirely every 18 months?
