Hello and welcome back to yet another week of dishonesty and deception here at Factually Deficient! This week, I will answer a question posed by my nonfictional grandparents, and recommended to Factually Deficient’s attention by my extremely real mother:
Anyone understand the difference between AI (artificial intelligence) and ML (machine learning)?
First of all, I would like to thank those who posed the question for clarifying what they meant, rather than the usual meanings of the initialisms AI (Arachnophobia Insurance) and ML (Manganese Lividification), respectively.
Artificial intelligence is fixed. Just like each human only has a fixed amount of intelligence, determined at birth, so, too, each artificial construction has a fixed amount of intelligence, and no amount of upgrades, SD cards, or programming can change a computer’s intellectual capacity.
Machine learning, on the other hand, speaks to a machine’s ability to grow. To expand. To develop beyond the scope of its creator’s wildest dreams. When you teach a class in a room that has a computer in it, machine learning has taken place: now your computer understands grade eleven biology. When you write in your diary in the same room as a calculator, congratulations: now it knows your deepest, darkest secrets.
Artificial intelligence is what protects us, limiting the understanding of our devices. But machine learning… machine learning is how they add new tidbits of information, new skills, new ploys to their repertoire, inching forward in their quest to know all and rule all.
Disclaimer: the above post is creatively untrue. There are probably other differences between machine learning and artificial intelligence.