It takes 552 tons of greenhouse gas before the development of a single machine learning model can generate. And that's just during the development phase. During its lifetime in production, the model's footprint from running inference can be even larger. Do you want to learn more about why machine learning can have a large climate impact? Do you have speculations to the topic such as: How does AI affect the climate? How can we reduce AI’s effect on climate impact?

In this talk, you will learn why machine learning can have a large climate impact, how to measure it and how to reduce it. This talk is presented by Kasper Ludvigsen from Dansk Data Science Community. Kasper is presenting at Driving IT 2022 and Driving IT is IDA IT's big annual 4-track conference with 40 different speakers, where all the important and future things about IT are addressed in one day.

Kasper Ludvigsen presents ’Climate responsible AI’ at Driving IT 2022

Kasper Ludvigsen is a Data scientist and board member. Kasper is one of the speakers at Driving IT 2022 that has been organized by a committee of IT professionals. At the conference each speaker was divided into different topics. The topics are:

•        Keynotes Speakers
  
  
•        Privacy/Security
  
  
•        AI/Kvante
  
  
•        Cool
  
  
•        UX Design
  
  
•        Grøn IT

Kasper is presenting at driving IT within the topic category ‘AI/Kvante’.