Nursing and climate change: generative artificial intelligence as a tool for critical training on climate justice

Objective to reflect on the use of artificial intelligence in nursing training for critical, ethical, and adaptive action in response to the challenges posed by climate change. Method a reflective essay aimed at delving into the complexity of the topic, exploring the concept of climate justice, supported by an ecosystemic approach and dialogues with Global South epistemologies, considering diverse worldviews. Results the critical application of artificial intelligence is associated with epistemological disruption, adaptive learning, algorithmic biases, digital inclusion, ethical regulation, and data privacy, which can be dialogued in a critical, reflective, and purposeful way from the diversities of territories for social transformation and climate justice. Conclusion and implications for practice the use of artificial intelligence enables formative solutions that can foster discussions on ethics, representation, and diversity in nursing practice. When strategically applied, these solutions can disrupt and contribute to epistemological transformation. Along this path, they point to intervention strategies that engage with diverse forms of knowledge and modes of resistance in territories, addressing climate change through innovative articulation.