Tag : Sustainable AI

AI model optimization makes AI models faster, smaller, and more efficient by improving performance and reducing resource requirements. Key techniques include pruning, quantization, knowledge distillation, and hyperparameter tuning. This enables deployment on resource-constrained devices and reduces costs.

Sustainable AI means developing and using artificial intelligence in a way that minimizes its negative environmental, social and ethical impacts and maximizes its positive contributions to a sustainable future.

The Ethics of Artificial Intelligence: Issues and Initiatives focuses on addressing ethical challenges arising from the rapid development of AI. Key concerns include bias, confidentiality, accountability, job displacement, arms transfers, and misinformation. Measures to mitigate these issues include establishing global ethical guidelines, promoting transparency, ensuring fair governance of AI, and fostering collaboration between governments, businesses, and research institutions. The goal is to create AI systems that are fair, transparent, and beneficial to society, while minimizing risks to individuals and communities.