It's an interesting thought. Object oriented responsibility is as archiac as object oriented data analysis because since the rise of ML we know that the larger objects were just mental models for human decision making. However they erred by covering through averaging of more granular inputs that had conflicting information. I.e. if I'm a CEO and 3 of my VPs are good but one is terrible is it my fault that only one has become a risk. Under current object oriented thinking, yes but with granular analysis no it's the VPs fault.