As the world embraces the era of Industry 4.0, the integration of Machine Learning (ML) and Artificial Intelligence (AI) in industrial processes has become increasingly prevalent. However, the rapid adoption of these technologies has raised concerns regarding their environmental impact and long-term sustainability. This paper presents a comprehensive framework for sustainable industrial ML and AI, aiming to guide practitioners in developing environmentally responsible and ethically conscious solutions.
