outputs generated by generative AI may reflect existing prejudices, biases, and stereotypes present in the real world. Care must therefore be taken to ensure that such outputs are not used or made public. ① Regular human rights training shall be provided to ensure that activists and staff are able to recognize biased or discriminatory expressions in generative AI outputs. [Alternatively, a designated reviewer for AIgenerated outputs may be appointed.] ② If potentially problematic expressions are identified during the use of generative AI, use of the output shall be halted immediately and the issue reported to the [designated reviewer]. ③ The generative AI system should be instructed to revise the content in a non-discriminatory manner, and the revised output should be reviewed again. ④ Issues identified should be reported to the company or service provider operating the generative AI system. ⑤ If a generative AI system repeatedly produces discriminatory or hateful content, its use shall be discontinued. ⑥ Rather than relying solely on generative AI, users should consider gathering information and perspectives through alternative sources and channels. 3) Data Protection and Security When using commercial generative AI services, data entered as prompts may be stored on the servers of AI service providers, creating security risks such as unauthorized access or data breaches. In addition, if such data are used for model retraining, there is a risk that personal data or confidential information could be exposed through outputs generated for other users. Care must therefore be taken to prevent the processing of personal data without a lawful basis and to avoid the disclosure of the organization’s confidential information. Generative AI Guide for Civil Society