Fields in which artificial intelligence is applied ... and new non-scientific professions

This week I give again the lecture on Artificial Intelligence and non-technical professions. It is a talk that universities hire me to publicize the professional opportunities related to Artificial Intelligence among students of non-technical careers. Students of Philosophy, Economics, Business Administration, Tourism, etc. usually attend.

The truth is that artificial intelligence has many applications and therefore offers many opportunities to technical profiles, but also to non-technical profiles. These are some of the main fields in which we interact with artificial intelligences on a daily basis, many times without being really aware of it:

1. Facial recognition

A large number of new mobile phones are opened by recognizing our face. So every morning, without being aware of them, we submit our facial physiognomy to the scrutiny of an AI that decides whether or not we are who we think we are. Facial recognition is used by Facebook to detect photos of us in which we are not tagged, it is used by airport personnel and police forces to detect

2. Artificial Intelligence and natural language processing

Every day we use the voice devices of our mobile phone, our Google Home or our Alexa. Artificial intelligence is applied both in predicting what we want to say exactly, as in understanding the words themselves and executing the orders. Also in SEO we use our knowledge in AI to optimize the positioning in Google.

3. Artificial Intelligence and vehicle navigation

When we open our browser (be it Google Maps, Waze, or whatever) and mark our destination, an artificial intelligence calculates how long it will take to get there and takes into account the traffic, construction work, and any other incident. Also the autopilots work with this type of Artificial Intelligence, to which the information from sensors, cameras and radars is added. Every time you get on a plane, 90% of the flight time is done by artificial intelligence.

4. Machine Learning or machine learning

Machine Learning is the branch of science that seeks to develop techniques that allow computers to learn by themselves. When you take a photo with your mobile camera, an artificial intelligence automatically retouches it based on the image it gets with the various cameras that your device has, while using the information on what that photo should look like, from thousands of of image models from which you have learned how to show what you have photographed. Also when you watch Netflix and it recommends new series and movies that you will surely like, machine learning is involved, making Netflix know you better and better and make better recommendations.

5. Artificial life

These days, in the middle of the COVID-19 pandemic, many of the predictions of infection and contagion rates are made with calculations created from simulations of populations created in artificial environments that show qualities typical of living beings.

6. Expert systems

AIs assist in medical diagnoses and also in your Google Analytics. The term expert system refers to an information system that is based on knowledge of a highly complex and very specific application area. It serves as a consultant and expert assistant for the users of its interface.

There are many other fields, but these that I comment on are the ones that serve me for half a talk, introducing the new professions or at least the professions that I do not see endangered in the near future:

  • As the world is changing and more and more AIs take over many professions, there is and will be a great need to retrain professionals. So adult training is a good field to specialize in.
  • If everything is going to be full of robots, someone will have to educate them. Have you ever tried to educate a chatbot ... it is a complicated task, but someone has to do it ... and we are all going to have robot assistants on our web pages and messaging systems.
  • Many business processes are going to be digitized and automated ... but someone will need to understand the processes and create them properly. Project Management experts have the future assured by deriving part of their knowledge towards processes instead of just doing projects.
  • The main distribution tool is going to be e-commerce… but there are high-value, high-priced products that must be sold personally. The field of sales is still a good career path.
  • The services to people performed by humans and not by machines are going to be increasingly valued. Everything that involves contact between people has a good way out.
  • The creative professions are not threatened either. Artificial intelligence can help us in the design of a marketing campaign both for the predictive part and for the data analysis, but creativity and originality will have to be contributed by a human.
  • Since algorithms are the ones who make most of the decisions, each company will need an ethics committee to determine the decision trees of its AI from the point of view of ethics and morals. A good specialization for Philosophy students.

In general, although according to McKinsey artificial intelligences will affect between 400 and 800 million jobs by 2030 and according to this same source 30% of jobs will be directly replaced by AIs, both people with technical profiles and those who have More literary profiles have good job prospects if they take these changes into account, from now on ... so I don't see it as a threat but as an opportunity.

If you want to know more about the MacKinsey report, go to Xataca they comment and they summarize it in a very understanding way.

If you want to know more about Netflix and AII recommend this article in which the author reviews all the applications.

What is your opinion?

What problems or moral implications do you see in the deployment of artificial intelligence?

We talk to each other