The Case for Cyborgs

But what if the meaning of AI is not to be found in the way it competes with, supersedes or supplants us? What if, like the emergence of network theory, its purpose is to open our eyes and minds to the reality of intelligence as something doable in all kinds of fantastic ways, many of them beyond our own rational understanding?

This problem requires a change in the definition of AI itself—from a field concerned with pure intelligence, independent of the objective, to a field concerned with systems that are provably beneficial for humans.

I think of this as “artificial capable intelligence” (ACI), the point at which AI can achieve complex goals and tasks with minimal oversight. AI and AGI are both parts of the everyday discussion, but we need a concept encapsulating a middle layer in which the Modern Turing Test is achieved but before systems display runaway “superintelligence.” ACI

The rise of AI forces us to consider what it means to be human. The Age of AI addresses the significant question of “whether there is a form of logic that humans have not achieved or cannot achieve, exploring aspects of reality we have never known and may never directly know” (16). For the authors, the advancement of AI could mark a positive step c

This book explains two important aspects of the AI myth, one scientific and one cultural. The scientific part of the myth assumes that we need only keep “chipping away” at the challenge of general intelligence by making progress on narrow feats of intelligence, like playing games or recognizing images. This is a profound mistake: success on narrow

Some predict that with the dawn of AGI, machines that can improve themselves will trigger runaway growth in computer intelligence. Often called “the singularity,” or artificial superintelligence, this future involves computers whose ability to understand and manipulate the world dwarfs our own, comparable to the intelligence gap between human being