6) Consideration of the Environmental Impacts of AI As the use of generative AI expands, electricity and water consumption for operating data centers, as well as resource use for producing semiconductors for AI, continue to increase. Accordingly, generative AI should be used in ways that minimize negative environmental impacts. ① Unnecessary interactions—such as courtesy messages—or requests for energy-intensive image, audio, or video processing should be avoided. ② Where the same materials are frequently requested, unnecessary repeated requests should be minimized by reusing generated outputs and sharing results among members of the organization. ③ For tasks that can be handled without generative AI, other appropriate alternative tools should be prioritized. ④ Where possible, lightweight AI models should be used. ⑤ Preference should be given to products and services offered by companies that implement environmentally responsible policies, such as disclosing information on the environmental impact of data centers used for AI operations (including energy consumption and efficiency), conducting environmental impact assessments, and using renewable energy sources. As discussed above, the development and operation of generative AI require enormous computational resources and energy. For this reason, considering the environmental impact of generative AI use is also an important human-rights-based practice. Civil society organizations have raised various demands to mitigate the Generative AI Guide for Civil Society