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Differences between Human and Artificial Inteligence

Introduction

 

Tell me a story

Computers entered our lives as tools to help in businesses and scientists work

Later, they became invaluable tools for creating contents, and finally to keep us all continuously communicated

In this last step towards their “humanisation” they needed to liberate themselves from the simplicity of their algorithms and basic logic decision making style, otherwise, they can be unbearable repetitive companion

But, how are they evolving and trying to reach the important category of “our friends”?

How do the computers are starting to take human-like decisions, and including in them the information they constantly get from us, from all of us?

 

Task

 

In this task we have to answer the questions:

  1. Find the most important milestones in computer popularisation, from automatic process, to user friendliness and then to machine learning
  2. What is, in essence, the computer does to assimilate info from images, for example, in what way do they use statistics and learn?
  3. Can they make mistakes in their decisions? How do we know how precise are those decisions?
  4. Analise who to blame if they take wrong decisions

 

Process

 

To do so, try first to do these exercises

 

 

Sources of information

 

 

 

 

Here you have resources to read about this topic:

 

 

Resources

Evaluation

 

Criteria 4. Excellent 3. Good 2. Satisfactory 1. Not satisfactory
Builds a complete timeline of milestones It includes some more than the most important 5 milestones in ML, correctly labeled and described  It includes some more than the most important 5 milestones in ML. Well labeled It includes some more than the most important 5 milestones in ML. Well labeled It doesn't include at least the 5 most milestones or them are badly labeled
Describe the milestones with their importance Include a precise analysis of the most relevant breakthroughs which changed the view we have about IA or its power It lists the main milestones and succinctly explain their importance It lists the main milestones in the evolution of AI It does not least all or the most relevant moments of AI evolution
Describe ML stages  Explain clearly what each of the 7 stages do.  Explain their extent,  limitations, and necessity It describe in some depth the stages It does not describe all the stages, but the most evident ones It omits stages or present them without any explanation
Describe the Future of ML and current applications List the areas where AI currently shines and the areas where it is of little use It only shows the strengths of AI and its efficient use but not express its limitations It only shows a few and well known areas of use It omits many important areas of use and completely ignores its limitations 
Comparison between human and artificial inteligence A deep analysis including aspects different than the simple hardware/brain efficiency approach. Like human needs, community sense, etc An analysis which takes an organised comparison and lists physical and goals aspects in the comparison A list of interesting aspects comparing which is better for each one An incomplete list or an unrelated list of topics, or wrong characteristics

 

Conclusion

 

Even this is a hard topic, with many deep aspects difficult to dig into, the idea of what Artificial Intelligence really is, deserves a try.  Computers are relying more and more on it and companies demand experts on it at a faster pace every day.  AI experts are replacing experts in especific areas.  How this AI works is on one hand a complex technical issue, based on statistics, matrix calculus, and diverse ways of formatting the information, and at the other hand it is a so important topic that is affecting our lives, that it is mandatory, for all of us, to have an idea of its fundamentals and limits, and of course, about its possibilites, too.

To continue its study, you can follow AI actual use by diverse companies, Amazon, Apple, Google… etc and how important is becoming for the future use of technology

 

 

Clilstore Stages in ML

Short url:   https://clilstore.eu/cs/10461