Cross Fertilizing Empathy from Brain to Machine as a Value Alignment Strategy

We propose a research paradigm that bases AI Alignment research seeks to align human and AI moral reasoning in neuroscience and attempts to goals to ensure independent actions by a machine build algorithms from observations of empathetic are always ethical. This paper argues empathy is thinking. We suggest some interesting methods for necessary for this task, despite being often neglected further research from this framework, drawing upon in favor of more deductive approaches. We offer an recent machine learning approaches for representing inside-out approach that grounds morality within empathy and ethics in machines. We outline the the context of the brain as a basis for algorithmically problem and frame the discussion in the first few understanding ethics and empathy.