AI vs. Fixed Algorithms: Key Concepts and Turing Test

Intelligence

Intelligence is the ability to learn from experience and use that knowledge to solve problems or adapt to new situations.

Non ai intelligence example

A Human being able to learn from past mistakes and applying that knowledge to the future. This shows intelligence because it is an example of adaptive learning.

Artificial intelligence

A computer being able to use data it collected, learn from it, and apply that learned information to future situations.

Ai example

Face recognition. This shows artificial intelligence because no matter what your face looks like, it adapts to what you look like at the time being using past data.

Fixed Algorithm

A step-by-step set of instructions to solve a problem: predetermined, does not learn.

Differences between Ai and Fixed Algorithm

Ai adjusts process due to new data, learns to make predictions, improving over time. Fixed Algorithm follows the same set of instructions every time. Same input = Same output.

Similarities between Ai and Fixed Algorithm

Both are at their core a set of instructions designed to complete a task. Both of their ultimate goals is to solve a problem.

The Turing Test

A method of inquiry in artificial intelligence (AI) for determining whether or not a computer is capable of thinking like a human being.

What is the Turing Test used for?

It's used to determine if a machine can exhibit intelligent behavior that is indistinguishable from a human's.