Этика Взаимоотношений Человека И Ии

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This conceptual article proposes a new framework for evaluating long-term human–AI relationships. Rather than focusing only on individual AI actions and their immediate consequences, it examines the evolving trajectory of a system composed of the human, the AI, their relationship, and the surrounding environment. The article maps eight existing research areas and identifies a theoretical gap at their intersection. It introduces a dynamic model of mutual transformation, distinguishes between human autonomous capability and the joint capability of the human–AI system, and develops a four-part typology of trajectories: developmental enhancement, substitutive enhancement, misalignment, and mutual degradation. A key contribution is the concept of the formative significance of a function, which captures how strongly a delegated function contributes to human judgment, verification, goal-setting, responsibility, and authorship. The article also distinguishes intention, mode of interaction, and actual trajectory, showing that beneficial intentions do not necessarily produce beneficial long-term outcomes. Finally, it formulates five principles of trajectory ethics: preservation of formative capabilities, reversibility of delegation, observability of trajectory, traceability of responsibility, and intergenerational anticipation. The central claim is that strengthening the human–AI system is not necessarily the same as developing the human.