This conceptual article examines how human-AI cooperation can be directed toward addressing social harm. Its starting point is a question of priorities: how can criticism of artificial intelligence contribute to meaningful improvements in human life, while its analytical and productive capacities are used to address injustice, exclusion and harmful institutional structures? Jean-Pol Martin’s New Human Rights (NMR) provide a framework organized around six basic needs: thinking, health, security, social inclusion, self-realization and participation, and meaning. Learning by Teaching (LdL) contributes an iterative process of explanation, feedback and conceptual revision. The article’s specific contribution is a five-stage procedure: specifying the situation; mapping needs and conflicts; examining power and responsibility; developing feasible alternatives; and acting, observing and revising. A hypothetical example of digital exclusion in municipal services demonstrates how the procedure connects AI assistance with institutional responsibility and the participation of affected people. Within the developing NMR and human-AI cooperation series, this article bridges theoretical orientation and practical intervention. It extends the discussion of needs awareness and power concentration by proposing a reusable procedure for accountable action. Prevention, reliability and sustainability guide the assessment of alternatives. The article presents a conceptual framework and research agenda. It reports no new empirical findings. Developed by Jean-Pol Martin in dialogue with ChatGPT.
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Jean-Pol Martin (2026) studied this question.
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