I like technology. I like doing something with technology. AI and ML (Artificial Intelligence, Machine Learning) seem to have pushed aside just about everything else in the technology world. I tried many a times to immerse my fingers in some AI / ML project. Each time I came away wondering. One reason is the headache of messing with elaborate technical stuff. The other reason is a philosophical conundrum which stands before me every time I start doing something with AI / ML.
AI / ML learns from past data points. It learns from the attributes fed into the black box. It teaches itself to emulate the past learning samples given to it. And the objective is categorization (racism as a child rightly said 🙂 ). This is the way conventional human psychology works too. However, despite the tendency of human psychology to work in this manner, an intelligence from beyond does manage to penetrate the human psyche at times. That intelligence from beyond gives the message of integration and oneness. It tells us that all attributes are too superficial.
How can I use AI / ML to honor integration, oneness, and the message that ultimately all attributes are too superficial? I want to design a project and objective that honors that, while engaging myself in the childlike activity of doing something with the hot thing of today’s world (AI / ML). The other issue is data. This integration and oneness would emerge if one threw enough data, and enough disparate data at it, and the objective not be categorization but integration. But if the “correct answer” is always only the one same answer then do we need any AI / ML in the first place?
Maybe I should create a project where the objective is not categorization but peace, beauty, joy. A system where whatever data point you throw at it, the learned system shows the user how that data point = peace, beauty, joy.