Member-only story

AI Machine-Child Approach to Achieving AI Driverless Cars: Grow or No

Lance Eliot
12 min readMar 21, 2019

--

Dr. Lance B. Eliot, AI Insider

Can AI mature from a Machine-Child state to be true AI

Did you play with blocks when you were a child?

If you study cognitive development, you likely know that block playing can be a significant means of formulating various key cognitive skills in children. In addition to the cognition aspects, the physical manipulation of the blocks will tend to aid the maturation of various body agility and coordination skills. There’s also the commingling of the mind and the body in the sense that the child is not solely gaining cognitively and not solely gaining in physical movement but gaining in a synergistic way of the mind and the body working together.

I think we would all agree that the children are not merely learning about blocks. If they were “learning” like most of today’s AI programs, they would only henceforth be able to use their blocks learnings to play with more blocks.

Wouldn’t it be great if you could develop an AI system that was a learning one, which could go beyond whatever particular domain aspect you crafted it for, and it would be able to learn something else entirely, leveraging what it already knew?

This is one of the greatest issues and qualms about today’s AI.

--

--

Lance Eliot
Lance Eliot

Written by Lance Eliot

Dr. Lance B. Eliot is a renowned global expert on AI, successful startup founder, global CIO/CTO, , was a top exec at a major Venture Capital (VC) firm.

No responses yet