Artificial Intelligence (AI) is a broad term used for intelligence that is non-biological (machine intelligence). AI is made up of various disciplines, one of them is Machine Learning (ML). Machine learning is one of the most common forms of AI to which we are normally exposed. When you use your phone and ask it a question, your phone is using ML (and natural language processing) to provide you the best answer it has learned. Typing corrections, which are tailored to your typing habits, are also a result of ML.
There are three types of ML; 1) supervised, 2) unsupervised, and 3) reinforced. Supervised and unsupervised do not mean what you may think they mean. There isn’t a person supervising the computers as they learn. Rather, supervised means that when you feed the ML algorithm with data, you provide it inputs with expected outputs. You basically say, when you see abc, you should get xyz. Unsupervised on the other hand, feeds only inputs into the algorithm and it lets it make sense of the data. The algorithm will look for commonalities and try to make sense of it.
Autonomous vehicles, such as on the video, utilize #3, reinforced learning. And this is where, at least for now, humans will play a big role and have a big impact.
As our world becomes ever more automated, we’ll need humans to help the machines by reinforcing the labeling of a given action. However, as noted in the video, this labeling is low-skilled and can be done by anyone after some basic instructions. Which will beg the question… if the machines take our jobs, what will the humans do to make a living?
What do you think?
