Hey @popaqy,
A great question indeed. Now, I only studied Biology till my high school, and wasn’t much interested in that then, but this question indeed seems to be intriguing. So, let me present you with my opinion, and let’s see what unfolds!
I guess the way that this model is trained would determine whether it is biologically practical or not. First of all, since we are talking about neural networks, we would be requiring a considerably sized dataset. In order to collect this, we would have to run biological tests on at least some 100-1000s of persons, since the features (as you defined) are different for different persons, but for the same person, they are pretty much the same. Here, a re-definition of features might be extremely useful. For instance, we can consider the current mood, current stress, current health, etc as features. This will allow us to run multiple tests on the same person and each of the tests would be equivalent to a single entry in the dataset. So, essentially, we would run multiple tests on a few 100 persons, instead of a single test on a few 1000 persons.
The second perspective is even if some test is available that can detect the current level of Oxytocin hormone in a person, what is the financial feasibility of this test? If let’s say running tests on a single person costs around $100, and we need say 5000 persons, which let’s say will lead to 10000 entries in the dataset (which is pretty small for even a fairly sized neural network), we would require a financial support of $0.5 M, which is pretty huge, so, that’s another constraint to this approach.
The third perspective is in terms of privacy and user safety. If you read any AI-based newsletter, you will most probably be familiar with how many problems arise due to privacy concerns in AI-based applications. And as per this application, this requires a person to share the most personal (intimate) aspects of his/her life. Now, this is definitely not some assumption that we can easily assume, so that’s another constraint.
However, say you somehow overcome all these constraints, then is it biologically feasible to do so? Well to be honest, even expert biologists who have devoted their entire life to the study of human mind, haven’t been able to figure out completely till now, how the human brain works? So, we are essentially trying to estimate something of which we only have the estimate (also referred to as bootstrapping). In my opinion, this could definitely be a way to go, but once again, I am a student who only studied biology till high school, and then studied about brain for a little bit, like a couple of days, just for fun! So, this question might be more relevant to people hailing from the domain of Bio-Technology, since they will most likely be having considerable knowledge about both, AI and Biology, and not only will they be able let you know about the biological feasibility, but they will also tell you about the technical feasibility of this.
Let me know what you think of this, and then we will further discuss!
Cheers,
Elemento