All about Artificial Intelligence

All about Artificial Intelligence

Artificial-Intelligence

What is Artificial Intelligence?

Artificial intelligence (AI) is intelligence exhibited by machines.

In computer science, the field of AI research defines itself as the study of "intelligent agents”.

What’s involved in Intelligence?

1. Ability to interact with the world (speech, vision, motion, manipulation)
2. Ability to model the world and to reason about it
3. Ability to learn and to adapt

The Origins of AI Hype

The Turing Test

In the 1950s Alan Turing created the Turing Test which is used to determine the level of intelligence of a computer.

Alan-Turing

Controversy of Turing Test

Some people disagree with the Turing Test.

They claim it does not actually measure a computer's intelligence.

Instead of coming up with a response themselves, they can use the same generic phrases to pass the test.

Artificial Intelligence in 1950

Why A.I ?

"AI can have two purposes.

One is to use the power of computers to augment human thinking, just as we use motors to augment human or horse power.

Robotics and expert systems are major branches of that.

The other is to use a computer's artificial intelligence to understand how humans think. In a humanoid way. If you test your programs not merely by what they can accomplish, but how they accomplish it, they you're really doing cognitive science; you're using AI to understand the human mind."

- Herb Simon

Real Life A.I. Examples:

Self Driving Cars

Boston Dynamics 

Navigation Systems 

ASIMO 

Chatbots 

Human vs Computer Games

Real life A.I examples

Weak A.I.

Machines with weak Artificial Intelligence are made to respond to specific situations, but can not think for themselves.

Strong A.I.

A machine with strong A.I. is able to think and act just like a human. It is able to learn from experiences.

Since there are no real life examples of strong A.I. yet, the best representation would be how Hollywood portrays robots.

Why Standardization in Artificial Intelligence ?

• While AI has been around for many years  with active research and development over the last 10 years, we have seen an increase in the number of products and services implementing AI effectively, which has led to an increase of interest by new/existing organizations to look into standardization of AI.

• Countries and regulators have begun taking an interest in many aspects of AI with an increase in the application of AI into a wider set of domains and the possibility of new regulation.

• There is a need for standards to facilitate communication about Artificial Intelligence, to enable acceptance of approaches and concepts that support future development and to address the interests and concerns of governments and society.

• Standards provide requirements, specifications, guidelines, or characteristics that can be used consistently to ensure that AI technologies meet critical objectives for functionality and interoperability, and that they perform reliably and safely.
  

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