Abilities Innate (AI)

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Authors: Jonathan Schaeffer
Cited by: 0

Abstract

Humans are strong at conversing, creating, and learning (among other things). Computers are good at calculating, memorizing, and repeating something millions of times. In some respects, humans and computers are complementary. Humans are weak at calculating, memorizing, and repeating something millions of times, while computers are weak at conversing, creating, and learning. There’s one important difference, however. Whereas the human weaknesses are fundamental to the brain’s design and can’t be addressed, this isn’t so for the computer. What research has taught us about artificial intelligence is that if the computer can’t do something today, just give it a few more years of research and development. Humans generate new ideas every day (creating), exchange and combine these ideas (conversing), and find out what works and what doesn’t work (learning). In other words, humans are helping computers “evolve” quickly. And in the past few years, the rate of this “evolution” has been rapidly accelerating. This gives rise to an obvious insight: working together, humans and computers can do more than either could do on their own. The future of artificial intelligence is AI-Augmented Intelligence, a man and machine symbiosis.

Fields of Study & Subjects

Artificial Intelligence Applications Psychiatry Mental Health Neuroscience Cybernetics and Technology in Society

Publication details

Journal / source
Chapman & Hall/CRC eBooks
Pages
38–44
Publication date
3 March 2026
Language
EN
Document type
Book chapter