Consumption

The environmental impacts of AI raise several ethical considerations that require careful attention and action. Here’s a breakdown of the key issues and potential approaches to addressing them:

Energy Consumption and Carbon Footprint

• Issue: Training and running large AI models, particularly deep learning models, consume substantial amounts of computational power, which translates to significant energy usage and carbon emissions.

Ethical Considerations:

The development and scaling of AI technologies significantly contribute to the ecological footprint in various ways. Understanding these impacts and identifying strategies to mitigate them is essential for sustainable AI growth.

Contributions to Ecological Footprint

Energy Consumption: