Algorithmic Sustainability: Designing Green AI Models for Energy-Efficient Computing
Rakesh Gowda
The growing demand for artificial intelligence (AI) systems has led to an increase in energy consumption, raising concerns about the environmental impact of AI technologies. Algorithmic sustainability is emerging as a crucial concept in addressing these concerns, focusing on designing AI models and systems that are energy-efficient, environmentally friendly, and socially responsible. This paper explores the principles of green AI and algorithmic sustainability, highlighting the importance of developing AI systems that optimize energy consumption without compromising performance. It discusses the environmental challenges posed by AI’s energy demands, explores innovative solutions for reducing the carbon footprint of AI systems, and examines the future potential of sustainable AI models. Through the analysis of case studies and emerging practices, this paper emphasizes the need for integrating sustainability into AI research and development to create a more sustainable technological future.