> For the complete documentation index, see [llms.txt](https://documentations.seclea.com/iso-ai-risk-management/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://documentations.seclea.com/iso-ai-risk-management/environmental-impact-eni.md).

# Environmental Impact (ENI)

The application of AI may come with environmental hazards that previously did not exist. The application of AI may result in favourable outcomes for the natural world. One application for AI would be reducing nitrogen oxide emissions from gas turbines. The application of AI may also result in the waste of certain resources. For instance, the training phase of some artificial intelligence systems requires computing resources and can result in significant amounts of power consumption. It is necessary to take into consideration both these risks and the effects they have on the environment.

Controls related to this risk category are listed below:

* ENI 01 - Environmental Impact 
* ENI 02 - AI Positive or Negative Impacts 
* ENI 03 - Likelihood and Magnitude of Each Impact 
* ENI 04 - Benefits vs Impacts


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