How shiftingcomputing loadsgeographically andby time can helpreduce AI'senvironmentalimpactTwo categoriesof environmentaleffects causedby AI andmachinelearningDetails abouthow muchenergyChatGPTused in 2023The growth inmachine learningmodels will likelyexceed energyefficiencyimprovements inthe coming yearsExamples of howAI can contributeto both positiveand negativeimpacts onclimate changeThe estimated% of globalelectricity usedby AI andmachinelearning in 2021Theindirecteffects ofAIThe primarysource ofgreenhouse gasemission frommachine learningsystemsHow shiftingcomputing loadsgeographically andby time can helpreduce AI'senvironmentalimpactTwo categoriesof environmentaleffects causedby AI andmachinelearningDetails abouthow muchenergyChatGPTused in 2023The growth inmachine learningmodels will likelyexceed energyefficiencyimprovements inthe coming yearsExamples of howAI can contributeto both positiveand negativeimpacts onclimate changeThe estimated% of globalelectricity usedby AI andmachinelearning in 2021Theindirecteffects ofAIThe primarysource ofgreenhouse gasemission frommachine learningsystems

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.


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