Data mining reproduces colonialism, and Indigenous voices are being left out of the development of technology that relies on data, such as artificial intelligence. This research stresses the need for the inclusion of Indigenous Data Sovereignty and centers on the importance of Indigenous rights over their own data. Inclusion is necessary in order to integrate Indigenous knowledge into the design, development, and implementation of data-reliant technology. To support this hypothesis and address the problem, the CARE Principles for Indigenous Data Governance (Collective Benefit, Authority to Control, Responsibility, and Ethics) are applied. We cover how the colonial practices of data mining do not align with Indigenous convictions. The included case studies highlight connections to Indigenous rights in relation to the protection of data and environmental ecosystems, thus establishing how data governance can serve both the people and the Earth. By applying the CARE Principles to the issues that arise from data mining and neocolonialism, our goal is to provide a framework that can be used in technological development. The theory is that this could reflect outwards to promote data sovereignty generally and create new relationships between people and data that are ethical as opposed to driven by speed and profit.

翻译：数据挖掘再现了殖民主义，而依赖数据的技术（如人工智能）的发展中，土著声音正被排除在外。本研究强调纳入土著数据主权的必要性，并聚焦于土著对其自身数据拥有权利的重要性。为了将土著知识融入依赖数据的技术设计、开发与实施中，这种纳入不可或缺。为支持这一假设并解决该问题，我们应用了《土著数据治理的CARE原则》（集体利益、控制权威、责任与伦理）。我们阐述了数据挖掘的殖民实践如何与土著信念相悖。所纳入的案例研究揭示了与数据及生态环境系统保护相关的土著权利联系，从而确立了数据治理如何同时服务于人类与地球。通过将CARE原则应用于数据挖掘与新殖民主义引发的问题，我们的目标是提供一个可用于技术开发的框架。其理论是，这能够向外辐射，以普遍促进数据主权，并在人与数据之间建立合乎伦理的新型关系，而非受速度和利润驱动。