The evolutionary ai: tapping into innate thinking for next-gen systems
Can AI truly innovate without mirroring our inherent understanding?
We've witnessed remarkable strides in artificial intelligence. Yet, as decision leaders and corporate executives, we must acknowledge the persistent gaps that hinder AI's true potential.
While AI capabilities have surged, our comprehension of these systems lags, and access to their workings remains confined to a select few. Furthermore, the ability to tailor AI to individual needs and values remains elusive.
To truly unlock AI's transformative power, we must explore novel approaches, drawing inspiration from the very essence of human cognition: innate thinking.
Human cognition, at its core, is a dynamic interplay between acquired and innate processes. To truly understand its depths, we must recognize that we are not blank slates, nor are we fully pre-programmed.
Instead, we are a product of both experience and inherited predispositions, a delicate balance that shapes our understanding of the world.
Acquired knowledge, the fruits of our experiences and learning, forms the vast landscape of our understanding. It is the accumulation of facts, skills, and insights gained through interaction with our environment. Yet, this landscape is not built on a void. It is erected upon the bedrock of innate knowledge, the inherent, pre-wired structures within our neural circuitry.
Take, for instance, the concept of object permanence, a cornerstone of early cognitive development. Even before extensive learning, infants demonstrate an understanding that objects persist even when hidden.
This is not a learned behavior in the traditional sense; rather, it appears to be an intrinsic capability, a foundational understanding critical for survival and navigating the physical world.
This innate understanding provides a scaffold upon which subsequent learning and exploration are built.