Researchers argue for proactive ethical alignment in AI systems rather than reactive constraints

The article proposes 'ethical entrainment' as an alternative approach to AI safety that builds values into systems during development rather than applying restrictions afterward

This framework suggests AI systems should be designed to naturally align with ethical principles through their training process

The approach differs from traditional constraint-based methods by emphasizing intrinsic alignment over external limitations