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Advances in Artificial Intelligence and robotics are currently questioningtheethical framework of their applications to deal with potential drifts, aswell as the way inwhich these algorithms learn because they will have a strongimpact on the behavior ofrobots and the type of robots. interactions withpeople. We would like to highlight someprinciples and ideas from cognitiveneuroscience and development sciences based on theimportance of the body forintelligence, contrary to the theory of the all-brain or all-algorithm, torepresent the world and interacting with others, and their currentapplicationsin embodied AI and developmental robotics to propose models ofarchitectures andmechanisms for agency, representation of the body, recognitionof the intention of others,predictive coding, active inference, the role offeedback and error, imitation, artificialcuriosity and contextual learning. Wewill explain how these are important for the design ofautonomous systems andbeyond what they can tell us for the ethics of systems.

Ideas from Developmental Robotics and Embodied AI on the Questions of Ethics in Robots