Artificial intelligence is becoming part of research, public health, education, and everyday work. But AI is not environmentally neutral.
Large language models, image generation, and cloud computing rely on energy-intensive data centers, which consume electricity and water for cooling. As AI use grows, so does its environmental footprint.
This does not mean we should stop using AI.
But it does mean we should use it more responsibly and efficiently.
Here are some practical ways to reduce the environmental impact of using AI.
1. Don’t use AI for things you can do faster yourself
If you are writing a short email, doing a simple calculation, or correcting a sentence, using AI may actually consume more energy than doing it manually.
Use AI for:
• literature summaries
• coding
• data analysis ideas
• editing long texts
• brainstorming
• learning new topics
Avoid using AI for very small tasks.
2. Ask better questions instead of many questions
Every prompt requires computing power.
Instead of sending 10 short prompts, try to send one clear, structured prompt.
Better prompts:
• give context
• specify format
• ask multiple related questions at once
Efficient prompting = fewer computations.
3. Avoid unnecessary image generation
Image generation models often consume significantly more computing power than text generation.
If an image is not necessary, consider:
• simple charts
• existing images
• diagrams made in PowerPoint or Canva
• text explanations
4. Save and reuse useful outputs
If you often ask for:
• statistical code
• paper structure
• email templates
• data cleaning scripts
Save them and reuse instead of generating them again.
This reduces repeated computing.
5. Use AI as a tool, not as a search engine replacement
Constantly asking AI very small factual questions (like search queries) is inefficient.
Use:
• scientific databases
• Google Scholar
• PubMed
• official reports
Use AI for analysis and thinking, not just searching.
6. From a public health perspective
This may seem like a small issue, but at scale it matters.
Environmental change affects health through:
• air pollution
• climate change
• water resources
• food systems
• extreme weather
• infectious disease patterns
Digital infrastructure is now part of the environmental determinants of health.
So responsible AI use is not only a technology issue —
it is also a public health and environmental responsibility.
AI can help research, healthcare, and education.
The goal is not to use less technology, but to use it more intelligently and responsibly.
