Klein and D’Ignazio extend data feminism into artificial intelligence by insisting that technical systems must be analysed through structural power rather than isolated bias. Their iconic proposition is operational: examine power, challenge power, rethink binaries and hierarchies, elevate embodiment and emotion, restore context, embrace pluralism and make labour visible. The paper adds environmental impact and consent as emerging principles, widening AI ethics beyond representational fairness toward extractive infrastructures, collective autonomy and material consequence. Its method is neither checklist formalism nor abstract critique; it translates intersectional feminist theory into questions that can reorganise research design, institutional priorities and deployment decisions. Consent is treated as relational and potentially collective, while sustainability is understood through unequal exposure to resource extraction and ecological harm. The work bridges feminist epistemology, critical data studies and responsible computing by showing that justice is not a corrective applied after system construction. It is a mode of inquiry capable of changing what counts as a problem, whose knowledge enters the model and which futures are considered legitimate.
