Asimov Didn’t Solve AI Safety. He showed us why it’s Hard.
A machine can follow its rules and still produce an unintended outcome.
What artificial intelligence reveals about strategy, governance, and the people at the top, and what leaders must do about it.
A machine can follow its rules and still produce an unintended outcome.
Over the weekend, something rare happened in the artificial intelligence industry. Three of its most competitive and often openly antagonistic leaders said the same thing on the same day.
For the past couple of months, I have been writing about a single idea: that AI does not replace leaders; it exposes them. Several of you have asked the obvious next question.
After hearing numerous national leaders talk about the challenges of preparing their countries for the age of AI, I decided to leverage key insights from The AI Fluent Leader and provide guidance at the national level. Thus, The AI Fluent Nation was born.
Most of the conversation about artificial intelligence is about what the technology can do. I want to make the case that this is the wrong conversation for a leader to be having, and that the right one is more uncomfortable.
On Monday, I argued that almost every institution has an AI strategy, and far fewer have a coherent one, and that the work of the Architect imperative is to ensure the coherent strategy exists in writing for the institution itself, not just for the...
The AI Fluent Leader(https://amzn.to/42a98Yz) is built on a working framework called AUGMENT. The book gives a framework, a chapter for each of its seven imperatives, and develops each one at length.
My newest book, The AI Fluent Leader(https://amzn.to/42a98Yz), was published on Thursday. Four days in, the most useful thing I can do this morning is not promote it.
The EU's AI Act delay is not a regulatory story. It is a leadership story.
Been spending a lot of time working on AI for the past month. Will be sharing more on that over the coming weeks.