Environmental sustainability of Artificial Intelligence: A GUM-based, user-centered measurement framework

Key Points

• Environmental sustainability is critical for developing artificial intelligence technologies, emphasizing user-centered design principles.
• The framework includes strategies to measure greenhouse gas emissions associated with AI utilization in various sectors.
• Development utilizes a GUM-based framework, providing a structured approach to assessing the environmental impact of AI.
• Implications highlight the need for industry adaptation towards greener practices in AI development and implementation.