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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.

Reporting by Benedict Evans 1 min brief
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The KeyNews take

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 know

  1. AI technology lifecycle: shifts entirely every 18 months

  2. Core problem: regulatory frameworks designed for static technology applied to rapidly evolving systems

  3. Cross-industry applicability creates conflicting ethical requirements

  4. 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?
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