This article discusses the evolution of data governance from a rigid, compliance-focused approach to a more dynamic, context-driven model. It argues that as AI systems become more autonomous, organizations need to shift from controlling data to ensuring accountability and intentionality in how data is used. The author emphasizes the importance of negotiating meaning and maintaining oversight in increasingly complex socio-technical environments.

Data governance in not-for-profits often struggles due to a lack of structure and resources, leading to issues like inconsistent data and compliance risks. Non-Invasive Data Governance (NIDG) offers a solution by integrating governance into existing roles and processes without adding bureaucratic layers, ensuring that organizations can manage their data effectively while focusing on their mission. This approach promotes accountability and compliance in a practical, sustainable manner.