Theindirecteffects ofAIThe primarysource ofgreenhouse gasemission frommachine learningsystemsThe growth inmachine learningmodels will likelyexceed energyefficiencyimprovements inthe coming yearsDetails abouthow muchenergyChatGPTused in 2023How shiftingcomputing loadsgeographically andby time can helpreduce AI'senvironmentalimpactThe estimated% of globalelectricity usedby AI andmachinelearning in 2021Two categoriesof environmentaleffects causedby AI andmachinelearningExamples of howAI can contributeto both positiveand negativeimpacts onclimate changeTheindirecteffects ofAIThe primarysource ofgreenhouse gasemission frommachine learningsystemsThe growth inmachine learningmodels will likelyexceed energyefficiencyimprovements inthe coming yearsDetails abouthow muchenergyChatGPTused in 2023How shiftingcomputing loadsgeographically andby time can helpreduce AI'senvironmentalimpactThe estimated% of globalelectricity usedby AI andmachinelearning in 2021Two categoriesof environmentaleffects causedby AI andmachinelearningExamples of howAI can contributeto both positiveand negativeimpacts onclimate change

Week 2 Mediation Lesson Reading for Gist - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. The indirect effects of AI
  2. The primary source of greenhouse gas emission from machine learning systems
  3. The growth in machine learning models will likely exceed energy efficiency improvements in the coming years
  4. Details about how much energy ChatGPT used in 2023
  5. How shifting computing loads geographically and by time can help reduce AI's environmental impact
  6. The estimated % of global electricity used by AI and machine learning in 2021
  7. Two categories of environmental effects caused by AI and machine learning
  8. Examples of how AI can contribute to both positive and negative impacts on climate change