Artificial Intelligence 

/ Roque E. de Campos
Veja em Português

I came from the computer industry, having worked at IBM for 22 years, (1970/1993)most of it as a product engineer for mainframes. I ended up involved with education and one of the problems it has is that some concepts, especially for hands-on training if you go through books, texts, written data, standard pedagogy, it is simply impossible to balance the amount of time needed to flush it through to be on board or level.

Fortunately, the computer also brought the possibility of the use of a lot of tools which helps the task of, how do I say, education, specially dealing with itself, I mean, creating computer based machines, designing, developing, producing and supporting them. And I mean from mainframes to Personal Computers from which perhaps the IPhone is the flagship besides a huge array of things that use computer intelligence to function, from automobiles to household appliances, not to mention sophisticated uses such as airplanes, rockets, military equipment, the sky’s the limit. For each application the computer will provide training tools and in our case we will concentrate on AI as a tool.

After I left IBM I got involved with Academia, (1994/2005) and had the chance to work as a researcher on improving graduate education for engineers initially and later for undergraduate courses in general. I was amazed at the amount of prejudice and rejection that I found in academia against the use of computers, which I will not discuss, but which ranged from the pure and simple fear of the difficulty of understanding how to use the machine to the fear that teachers would eventually be replaced by it. The academy’s protocol is to stick to the standards that guide it, which range from the publication of papers to the use of blackboards and chalk, resisting the tools that fortunately Microsoft has practically standardized, such as Word, Excel, Power Point. Google and the Internet is something else which is not quite absorbed by Academia and I will not discuss it also. Papers are still published as before the computer era and this job, for lack of a better definition, I’ll call it a paper on Artificial Intelligence, but I will use available tools and facilities, specially Artificial Intelligence to help to understand all that. 

How to approach Artificial Intelligence

In other words, for our case of AI, I used Chat GPT to help me to do this job and two lectures: The first one by one of the leaders on the subject of Artificial Intelligence, which I’m going to piggyback on. I mean the presentation that Dr. Michael Wooldridge, Director of Fundamental Research for Artificial Intelligence, at the Alan Turing Institute, in the UK, delivered at a symposium they recently did on December 21, 2023 on “ The Future of Generative AI” The other lecture is What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata, also from the Alan Turing Institute, given previously on September 29th, 2023.

Besides AI, and those lectures I will use any available tool, such as YouTube presentations or any kind of media or information available on the Internet which can clarify any point about the subject.

I did a series of posts under WordPress which are connected through anchors and an unexpected thing which occurred was that the final job works better not as something to be read, but as a glossary of AI building blocks and notions which are needed to clarify doubts and to determine what it can do and especially what it can’t do.

So, you can read the whole thing as a paper, what you can do starting at the following addresses, but I suggest you browse through the anchors and a list of building blocks, or most requested subjects, which you can select at your discretion:

To read as a paper:

Glossary by AI most requested subjects

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