What happens if we make a mistake in handing the machines
Answers
Machines can solve any problem but they just don’t know what problem is the relevant one. ”
JE: In terms of deep learning where the machine has to learn on its own, it’s not just brute force, you’ve talked about how hard it is to give a machine a purpose – machines don’t have an intent. They do what you tell them. The machine itself doesn’t desire.
GK: It’s about identifying the goal.
JE: How important is intent in AI in the future? Is it possible to give an artificial intelligence an intent?
GK: Intent starts with a question, and machines don’t ask questions. Or to be precise, they can ask questions but they don’t know what questions are relevant. It’s like a limitation, because a machine doesn’t understand the concept of diminishing returns. It can go on and on. So the moment there’s an intent, the purpose, you get this wall that a machine reaches and stops. So I see in the foreseeable future just very little chance, if any, for machines to come up with an intent. I think it contradicts the way machines operate, because machines these days know the odds, they can work with patterns, but still “intent” — this is what transfers open-ended systems to closed systems. And you have to understand what is relevant. [I did a lecture once] and I was followed by a professor from Cornell and she talked about it, and she said, “Machines can solve any problem but they just don’t know what problem is the relevant one. ”