In this article, we open the conversation to artificial intelligence itself. It is a technical expression referring to artifacts used to detect contexts or carry out actions in response to detected contexts. The ability to build such artifacts grew and thus their impact on society.
AI is a term used to describe an artifact, usually digital. We can thus consider any artifact that expands our capacities as humans of perception and action, artificial intelligence. All AI is an artifact resulting from deliberate human decisions. It is an intelligence that does not learn in the way we understand learning in human intelligence. In the case of AI, intelligence is the subset of computing that transforms context into action.
Thanks to advances in robotics, AI is entering our physical space with drones, self-driving cars, and voice assistants. Robots, for example, are artifacts that feel and act in the physical and real world. A smartphone is a robot.
Although systems engineering has existed before artificial intelligence, these converge in the development of artifacts that "learn" automatically, or as 'machine learning' is known.
In the following article, we will take the conversation towards the generation and processing of data, locating the points in history that allowed the technological advances that we see today embodied in AI.