The urgency of transformative climate action reveals a persistent gap between global ambitions and tangible progress. This chapter examines human-AI communication as a vital framework for steering AI toward equitable climate solutions, emphasizing ethical design, human agency, and collaborative decision-making. By drawing on a tripartite framework premised on Cybernetics 3.0, Human-in-the-Loop (HITL), and third-loop learning approaches, we propose a learning-oriented model that addresses algorithmic limitations and advances a just climate transition across key domains, including literacy, information access, technology transfer, financial equity, and support for under-represented sectors and actors. This chapter establishes that a conscious, intentional, and collaborative approach will be required to guide AI towards advancing a just climate transition.