One of the nice things about my job is that I get to play with some of the latest technology. Right now I am doing a lot with artificial intelligence (AI) and machine learning (ML). I remember back in the 1980's and how AI had the potential to be something great. Then it stagnated for 2 decades. Due to the low cost of computer processing power and memory, AI is making a comeback. Hopefully it has a bit more staying power this time around.
As I research new technologies it is important not to buy into the hype. I read one article today claiming that those that don't make the effort understand AI and ML will begin to look at computers as magical machines that they understand less and less. That can be true of any technology and so if you find yourself thinking of a new product as magic, that is what the marketing people want you to believe.
The more I work with the current state of artificial intelligence, the more I realize it is just really good at guessing the right answer. Most AI engines get fed a bunch of numbers (characters and words can be represented by numbers) and what those numbers mean. The engines then try to figure out what a different set of numbers mean. It then becomes very important to train the AI engine with a lot of data as well as the correct data.
What happens if you train your engine with the favorite breakfast cereals of children between the ages of 5 and 7? When you ask it what an adult would like for breakfast, you will most likely get the wrong answer. While I do like Fruit Loops, I don't eat them for breakfast anymore. What happens when you recognize the age mistake but only train the engine with data from Americans? If you ask what someone from Japan eats for breakfast, once again, you will get the wrong answer.
Currently artificial intelligence is at an interesting point. We are creating useful applications for it that can greatly help us in our daily lives. It is also important to remember that it isn't magic and is only as smart as the data with which it has been trained.
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