AI, or artificial intelligence, is a concept related to technology that we are all beginning to experience and understand based on our interactions with it.
The term “AI” is rapidly becoming a fundamental part of our lives, often applied to new technologies or as a descriptor for innovative additions to existing systems and machinery.
AI, as a term, signifies the ability of technology to mimic human cognitive abilities—it’s as simple as that.
By adding AI to new software or enhancing existing ones, we are essentially saying that this software is now performing tasks using some form of human cognitive abilities.
But what does it mean? Why would a system benefit from having human cognitive abilities? And what is the essence behind the saying intellligence?
The meaning of intelligence:
The meaning of intelligence refers to cognitive abilities, which are mental processes involved in acquiring, processing, storing, and retrieving information.
These abilities encompass perception, attention, memory, learning, reasoning, problem-solving, decision-making, language comprehension, and other aspects of thinking.
Cognitive abilities enable us to understand, interpret, and interact with the world around us.
From our daily activities, like brushing our teeth in the morning to going to bed in the evening, and everything in between.
Without our cognitive abilities, we would not be able to function.
Simply put: its our ability to express our self and interact with the world around us.
Now that we understand what intelligence means, let’s explore the difference between a system with AI and one without.
Differences between systems:
A system without AI refers to a traditional computational system or software that operates based on predefined rules and algorithms without the ability to learn or adapt autonomously.
Such systems rely solely on programmed instructions and data inputs to execute tasks, lacking the capability to mimic human cognitive abilities like learning, reasoning, or decision-making.
In simple terms, their ability to respond to inputs is constrained by predefined rules.
In contrast to AI systems, non-AI systems do not possess the capacity to improve their performance over time through experience or data analysis.
They operate within fixed parameters and require explicit human intervention or updates to modify their behavior or functionality.
In conclusion,
AI, or artificial intelligence, is the ability for a computational system to exhibit flexibility and autonomy within the framework of tasks it was designed to perform.
This flexibility is achieved by utilizing human cognitive abilities, allowing AI systems to analyze inputs and respond to events similarly to how humans do.
However, AI operates strictly within the specific task or domain it was designed for.
My Thoughts :
Considering AI from this perspective highlights a its unique aspect:
AI exemplifies a form of thinking—AI thinking—that empowers it to be flexible and react differently to changing inputs, surpassing its original setup to excel in performing designated tasks.
This foundational understanding should underpin our conceptual framework of AI.
Viewing AI in this light reveals that it is not merely a technology or an enhancement to existing systems; rather, it represents a new form of thinking entity.
When crafting an AI strategy, it’s crucial to recognize that we are onboarding a new thinking mind.
This perspective prompts us to acknowledge the human-like aspects of AI that require support and to understand that AI is a technology that evolves, learns, and grows.
Our strategy should reflect this perspective.
In practical terms, treating AI as a new, non-human employee in realtion to its ability to think provides a helpful analogy.
Drawing parallels to onboarding a human employee should guide our approach and help us identify applicable strategies for supporting AI for achieving organizational business goals.
