1. O  verview of the Generative AI Policy Framework for Civil Society Generative AI can serve as a tool that enhances the operational efficiency of civil society organizations and transforms existing modes of activism. At the same time, however, it entails a range of risks, including the generation of inaccurate information, biased outputs, the leakage of personal data or organizational confidential information, and the erosion of activists’ capacities due to overreliance on technology. These risks are closely linked to an organization’s social responsibility, credibility, and human rights commitments. Civil society organizations are grounded in core values such as the public interest, human rights, transparency, and democratic participation. Accordingly, when using generative AI, clear standards and procedures—along with well-defined accountability structures—are required to ensure alignment with the organization’s mission and values. This is precisely why a generative AI policy tailored to civil society organizations is necessary. The ways in which generative AI is used vary greatly depending on an organization’s nature, size, and areas of activity. Even within the same organization, the AI tools most commonly used—and the extent to which they are used—may differ according to the roles of individual activists. For this reason, there is no single, uniform “correct answer” for generative AI policies that can be applied to all organizations; rather, such policies must be discussed and decided Generative AI Guide for Civil Society