Sustainable AI

Sustainable AI focuses on minimizing the environmental and societal impact of artificial intelligence systems, aiming to balance technological advancement with ethical and ecological responsibility. Current research emphasizes reducing the energy consumption of AI models, particularly large language models and deep neural networks, through techniques like model compression, efficient training methods (e.g., using smaller, elite datasets), and hardware optimization (e.g., processing-in-memory architectures). This field is crucial for mitigating the growing carbon footprint of AI and promoting the development of equitable and responsible AI applications across various sectors, including healthcare and environmental monitoring.