AI and Environmental Justice: Where Data Centers Land

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ethics-AI-and-environmental-justice-creators

1. Which group is disproportionately affected by the placement of AI infrastructure like data centers?

   1. Communities of color
   2. Coastal tourist areas
   3. Retirement communities
   4. Wealthy suburban communities

2. What does the term 'environmental justice' primarily address?

   1. The right to clean air and water regardless of race or income
   2. International climate treaties
   3. Equal access to AI technology in schools
   4. Fair pricing for renewable energy

3. Which of the following is something AI technology itself is capable of doing regarding environmental justice?

   1. Eliminating the energy demand of AI systems
   2. Replacing the need for collective action
   3. Learning the environmental justice context for infrastructure decisions
   4. Solving environmental justice through individual consumer choices

4. Why can purchasing different AI products NOT solve environmental justice issues related to data centers?

   1. Data centers only affect people who use AI
   2. Consumer choices have no connection to where infrastructure gets built
   3. AI products are all made by the same company
   4. Individual purchasing decisions cannot change systemic siting patterns

5. What is a 'siting decision' in the context of AI infrastructure?

   1. The process of deciding where to locate a facility
   2. Selecting software for managing server farms
   3. Determining energy prices for computing
   4. Choosing which computer chip to use in a data center

6. Which action represents a meaningful way to support communities affected by AI infrastructure?

   1. Switching to a different AI chatbot
   2. Posting about AI on social media
   3. Donating to and volunteering with local environmental justice organizations
   4. Buying the latest AI gadget to show support

7. Why is personal awareness alone insufficient for addressing AI's environmental justice impacts?

   1. Awareness has no connection to environmental justice
   2. Awareness makes the problem worse
   3. People cannot learn about these issues
   4. Individual awareness must be combined with collective action to create change

8. Which of the following is an example of holding AI companies accountable for siting choices?

   1. Demanding transparency about where data centers are built
   2. Using their products as much as possible
   3. Ignoring where infrastructure is located
   4. Only supporting companies with the cheapest prices

9. What is one reason data centers require significant energy?

   1. They only operate during business hours
   2. They need to power cooling systems for thousands of servers
   3. They use less energy than a typical laptop
   4. They run primarily on solar power

10. Why is it impossible for AI to completely eliminate its own energy demand?

    1. AI companies refuse to reduce energy use
    2. Computing requires energy regardless of efficiency improvements
    3. AI only uses renewable energy
    4. Energy demands are purely theoretical

11. How does AI environmental justice connect to broader climate justice work?

    1. AI infrastructure decisions are part of larger patterns of fossil fuel infrastructure placement
    2. Climate justice only deals with transportation emissions
    3. AI has no connection to climate change
    4. They are completely separate issues

12. Which of the following represents a 'personal commitment' someone might make regarding AI environmental justice?

    1. Building their own data center
    2. Promising to learn about and advocate against harmful siting decisions in their community
    3. Making a one-time donation to an organization
    4. Convincing everyone they know to stop using AI entirely

13. What type of infrastructure besides data centers contributes to environmental justice concerns in AI?

    1. Power generation facilities
    2. User interface designers
    3. Marketing departments
    4. Office furniture

14. What is an 'accountability framework' for AI companies?

    1. A guide for writing AI code
    2. A system for tracking company decisions and enforcing consequences for harmful practices
    3. A set of rules defining what AI is allowed to say
    4. A method for calculating company profits

15. Why might communities of color be disproportionately affected by infrastructure siting?

    1. Historical discrimination has often placed polluting facilities in these areas
    2. They have the most voting power on local decisions
    3. Data centers only affect rural areas
    4. They specifically request data centers in their neighborhoods