explain more clearly and accessibly how personal data is accessed and used. While these are issues that civil society organizations should raise with policymakers, users who rely on AI services in the meantime must also be aware of these risks and reflect them in their own security policies and usage practices. Seventh, it is advisable to keep work accounts and personal accounts separate. If work-related tasks are carried out using personal accounts, it may be difficult to trace responsibility or investigate issues should problems arise later. Of course, this approach may impose additional financial costs on the organization, as it would require providing individual accounts for staff members. 4) Copyright The use of generative AI entails copyright infringement risks in multiple respects. At the societal level, there is ongoing debate over whether AI companies may use copyrighted works as training data without the consent of rights holders, but this is largely beyond the control of individual users. Nevertheless, because personal data or copyrighted works used in training may be memorized by the model and reflected in its outputs, users may face copyright liability—even without intent—if generative AI produces outputs that are substantially similar to copyrighted works used in training. ① Care should be taken, as generative AI outputs—particularly images or audio—may unintentionally infringe copyright. Before use, users should check for the existence of similar works (e.g. through image Generative AI Guide for Civil Society

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