I don't think trans-disciplinary inquiry is arrogance - the intellectual fields are somewhat arbitrary relative to how human expertise relates to real world problems. But, effective trans-disciplinary inquiry requires awareness of philosophical commitments, and familiarity with existing literature/theory.
The bigger challenge might be that people with ML expertise need to solve problems of human-AI interaction and alignment because the training for the former is uni-disciplanary while the latter is trans-disciplinary.
The bigger challenge might be that people with ML expertise need to solve problems of human-AI interaction and alignment because the training for the former is uni-disciplanary while the latter is trans-disciplinary.