AI from concrete to abstract: demystifying artificial intelligence to the general public

06/07/2020
by   Rubens Lacerda Queiroz, et al.
0

Artificial Intelligence has been adopted in a wide range of domains. This shows the imperative need to develop means endow common people with a minimum understanding of what AI means. Combining visual programming and WiSARD weightless artificial neural networks, this article presents a new approach to enable general people (including children) to achieve this goal. The main strategy adopted by is to promote a demystification of Artificial Intelligence via practical activities related to the development of learning machines, as well as through the observation of their learning process. Thus, it is possible to provide subjects with skills that contributes to making them insightful actors in debates and decisions involving the adoption of Artificial Intelligence mechanisms. Currently, existing approaches to the teaching of basic AI concepts through programming treat machine intelligence as an external element/module. After being trained, that external module is coupled to the main application being developed by the learners. In the approach herein presented, the both training and classification tasks are blocks that compose the main program, just as the other programming constructs. As a beneficial side effect of this approach, the difference between a program capable of learning from data and a conventional computer program becomes more evident to the student. In addition, the simplicity of the WiSARD weightless neural network model enables easy visualization and understanding of training and classification tasks internal realization.

READ FULL TEXT

page 8

page 10

page 11

page 13

page 14

page 16

page 17

page 18

research
08/25/2012

Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (2004)

This is the Proceedings of the Twentieth Conference on Uncertainty in Ar...
research
06/13/2018

The IQ of Artificial Intelligence

All it takes to identify the computer programs which are Artificial Inte...
research
10/17/2022

Review of the state of the art in autonomous artificial intelligence

This article presents a new design for autonomous artificial intelligenc...
research
04/27/2021

Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence

This article reviews the Once Learning mechanism that was proposed 23 ye...
research
01/20/2022

Lifelong Learning Metrics

The DARPA Lifelong Learning Machines (L2M) program seeks to yield advanc...
research
09/03/2021

On deploying the Artificial Sport Trainer into practice

Computational Intelligence methods for automatic generation of sport tra...
research
11/30/2020

Monadic Pavlovian associative learning in a backpropagation-free photonic network

Over a century ago, Ivan P. Pavlov, in a classic experiment, demonstrate...

Please sign up or login with your details

Forgot password? Click here to reset