AI Should Augment People, Not Replace Them, But the Technology Isn't There Yet
Why enterprise AI defaults to replacement, and what continual learning would change
Emily Lu
Thinking about decision architecture and knowledge. Interested in AI, but more interested in what it asks of us. Machine Learning @ Harvard.
95% of Enterprise AI Pilots Fail to Reach Production: What Separates the Other 5%
The 5% that succeeded didn't have better models or bigger budgets. They were methodical about something most teams rush past: defining what the AI actually needs to know.
How Will People Learn When A.I. Does the Grunt Work?
That question assumes building from scratch was the only path to understanding: it wasn't. It was just the only one available.