76 8. CONCLUSIONS The growing interest in applying circular economy principles to tailings management reflects broader efforts by the mining industry to reduce long‑term environmental liabilities, enhance resource efficiency, and align operations with evolving sustainability expectations. However, as discussed throughout this paper, the translation of circular economy concepts into practical tailings management strategies remains a complex and non‑trivial challenge, particularly given the inherent risk profile and long lifecycle of tailings facilities. This paper has shown that circular economy initiatives in tailings management—such as reprocessing, material reuse, and alternative disposal technologies—are not inherently risk‑neutral. On the contrary, they may introduce new technical, operational, and governance risks that require careful evaluation. Tailings are heterogeneous and dynamic materials, and any intervention that alters their configuration, properties, or management approach must be assessed through a rigorous, lifecycle‑based risk lens. In this context, digitalization and integrated data systems play a critical but clearly bounded role. Rather than constituting solutions in themselves, such systems function as facilitators that support the organization, integration, and traceability of multidisciplinary information required for risk‑informed decision‑making. When effectively structured, integrated data environments provide a foundation for consistent evaluation of circular alternatives, transparent documentation of assumptions and decisions, and improved communication across technical and governance levels. The analysis also demonstrates that alignment with governance frameworks, particularly the Global Industry Standard on Tailings Management (GISTM), is essential for the responsible implementation of circular strategies. Circular economy initiatives must be embedded within governance systems that prioritize accountability, technical rigor, and long‑term risk management. Without such alignment, sustainability‑driven interventions risk undermining the very objectives they seek to advance. At the same time, the paper highlights critical limitations that must be acknowledged. The effectiveness of digitalization depends on data quality, organizational maturity, and the disciplined application of engineering judgment. Artificial intelligence and advanced analytics can improve efficiency in data handling and documentation, but they do not replace professional expertise or decision accountability. Overreliance on technological tools, or the promotion of circularity without sufficient technical substantiation, may create a false sense of control in systems where failure consequences are severe. In conclusion, the safe and effective application of circular economy principles to tailings management requires an integrated approach that combines robust engineering practice, structured data and knowledge management, and strong governance frameworks. Digitalization, when applied as an enabling mechanism rather than an end in itself, can play an important role in bridging the gap between sustainability ambitions and the practical realities of tailings risk
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