Researchers from Carnegie Mellon University and AI startup Hugging Face collaborated to see the carbon footprint of all those whimsical AI images we've generated over the last few years. They discovered that creating an image using artificial intelligence uses the same energy as charging a smartphone. Generating text, whether a conversation with a chatbot or cleaning up an essay, predictably requires much less energy. The researchers examined 13 tasks, ranging from summarization to text classification, and measured the carbon dioxide produced per every 1,000 grams. The researchers urge machine learning scientists and practitioners to "practice transparency regarding the nature and impacts of their models, to enable better understanding of their environmental impacts."

Researchers at the AI startup Hugging Face collaborated with Carnegie Mellon University and discovered that generating an image using artificial intelligence, whether it's to create stock images or realistic ID photos, has a carbon footprint equivalent to charging a smartphone. However, researchers discern that generating text, whether it be to create a conversation with a chatbot or clean up an essay, requires much less energy than generating photos. The researchers quantify that AI-generated text takes up as much energy as charging a smartphone to only 16 percent of a full charge. The study didn't just look into image and text generation by machine learning programs. The researchers examined a total of 13 tasks, ranging from summarization to text classification, and measured the amount of carbon dioxide produced per every 1000 grams.