I've read the term "cognitize"in the Future Of AI, Nov-14 issue of the WIRED Magazine.
I've worked in AI for nearly 30 years now. At the frog level first, the bird level then.
A short story of being unlucky?
AI is a story about promises that were not fulfilled…Is the AI community ready to leave the bully phase for a utility phase?
Computerized Systems are People?
The idea has a long tradition that computerized systems are people. Programs were tested whether they behave like a person. The ideas were promoted that there's a strong relation between algorithms and life and that the computerized systems needs all of our expertise to become intelligent…it was the expert system thinking.
It's easier to automate a university professor than a caterpillar driver…the AI community said in the 80s.
The expert system thinking was strictly top down. And it "died" because of its false promises.
Christopher Langton, Santa Fe Institute of Complex Systems, named the discipline that examines systems related to life, its processes and evolution, Artificial Life. The AL community applied genetic programming, a great technique for optimization and other uses, cellular automata, agent based systems...But the "creatures" that were created were not very intelligent.
We can create many, sufficiently intelligent, collaborating systems by fast evolution…the AI community said in the 90s.
Thinking like humans?
Now, companies as Google, Amazon…want to create a channel between people and algorithms.
Our brain has an enormous capacity - so we just need tot rebuild it by
Massive inherent parallelism - the new hybrid CPU/GPU muscles able to replicate powerful ANNs?
Massive data - for learning from examples
Better algorithms - ANNs have an enormous combinatorial complexity, so they need to be structured
To make AIs collaborative, make them consciousness-free
AI that is driven by this technologies in large nets will cognitize things, as they have been electrified. It will transform the internet. Our thinking will be extended with some extra intelligence.
As in freestyle chess, where players use chess programs, people and systems will do tasks together.
I have written about the Good Use of Computers, starting with Polanyi's paradox and advocating the use of computers in difficult situations. IMO, this should be true for AI.
We can learn how to manage those difficulties and even learn more about intelligence. But in such a kind of co-evolution AI must be consciousness-free.
AI will always think differently about food, clothes, arts, materials…
Make knowledge computational and behavior quantifiable
I talk about AI as a set of techniques, from mathematics, engineering, science…not a post-human species.
And I believe in the intelligent combination of modeling, adaptive calibration, simulation…with an intelligent identification of features. On the individual, as well as on the systemic level. The storm of parallelism, bigger data and deeper ANNs alone will not be able to replicate complex real behavior, IMO.
We need to continue making knowledge computational and behavior quantifiable, but even more important find new interaction paradigms between intelligent "Silicon" and us.
But however it goes, the impact on the political, socio-economic and cultural systems will be enormous. And not to forget business…innovation and marketing.
