Exploring Human-AI Collaboration and Explainability for Sustainable ML
Eya Ben chaaben · Frontiers in artificial intelligence and applications · 2024
The collaboration between Human-Computer Interaction (HCI) and Machine Learning (ML) can effectively address sustainability challenges by developing intelligent systems that enhance user behavior and reduce environmental impact. In order to promote energy efficiency and avoid AI-waste throughout the entire life-cycle of ML applications, developers need the ability to make environmentally conscious decisions from the start. In facts, we aim to create tools that help ML practitioners understand how a certain decision affects the environment and guide them in identifying suitable,more environmentally friendly models for their projects. By participating to the doctoral consortium, we contribute to develop a discussion on building and developing a more sustainable future.