1. Optional: Do a literature review/search and report number of papers actually discuss the consequences (rebound effects) of machine learning applications in the last 10 years.
2. Rebound Effect: Please discuss “all” rebound effects (some ideas including but not limited to are energy consumption, gas emissions, carbon footprints, global warming) causing by ML and focus on the energy perspective. Some ideas might be energy deficit in the coming years, more data centres, cloud computing, computing usages from ML courses and etc.
3. Assessment on the effect: Discuss issues/solutions and/or benefits/drawbacks from the sustainability (individual, social, technical, economics, environmental) angle. How these applications would relate to just sustainability design (JSD).
4. Systems Thinking: Making arguments from one of the systems thinking methodologies: Systems Dynamics (feedback loop, stocks & flows) or Critical Systems Heuristics (checklists).
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