Ideas from Developmental Robotics and Embodied AI on the Questions of Ethics in Robots
This work addresses ethical issues in robotics for developers and policymakers, but it is incremental as it synthesizes existing ideas without new empirical results.
The paper tackles the ethical challenges in AI and robotics by drawing on principles from cognitive neuroscience and developmental sciences, emphasizing the importance of the body for intelligence, and proposes models for agency and interaction to inform autonomous system design.
Advances in Artificial Intelligence and robotics are currently questioning theethical framework of their applications to deal with potential drifts, as well as the way inwhich these algorithms learn because they will have a strong impact on the behavior ofrobots and the type of robots. interactions with people. We would like to highlight someprinciples and ideas from cognitive neuroscience and development sciences based on theimportance of the body for intelligence, contrary to the theory of the all-brain or all-algorithm, to represent the world and interacting with others, and their current applicationsin embodied AI and developmental robotics to propose models of architectures andmechanisms for agency, representation of the body, recognition of the intention of others,predictive coding, active inference, the role of feedback and error, imitation, artificialcuriosity and contextual learning. We will explain how these are important for the design ofautonomous systems and beyond what they can tell us for the ethics of systems.