Ubiquitous Computing Cause Climate Change

1. Please don’t copy & paste below in the writing – it intends to give you an overall of the paper
2. Please provide as many references it needs to get points across
3. Format: intro (~1.5 pages), related work (~1.5 pages), discussion (~4 pages) conclusion (~1 page)
4. System dynamics: mention one negative and one positive feedback loops (algorithm automatons/computing indirectly cause climate change)
5. Sustainability: discuss the need for sustainable developments (individual, social, technical, economic, environmental)
5. Contribution: reviews suggest work done for energy-efficient algorithms are not fighting for climate change explicitly instead for other reasons such as lowering costs (increase profits), we want to argue that having more energy-efficient algorithms is not enough because more energy will be consumed at the end like bitcoin scenario (rebound effect/Jevon’s paradox). Here we want to call for algorithmic audit revolution.

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Ubiquitous Computing Cause Climate Change
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Example abstract:
Ubiquitous computing is reshaping our societies, they enable us to be more efficient in many ways but often the software designers and developers tend to forget the consequences these automatons would cause such as carbon dioxide, carbon footprint, or carbon emission, which would contribute to the climate change. The same phenomena could be seen in cloud computing in which machines are doing the computing work in data centers constantly, however, the amount of energy it requires to host a data center alone is enormous not to mention data processing could add to its energy consumption. Recently, many efforts have put into making these applications more energy-efficient, many applying the AI/ML methodologies. However, it is still up to software designers to adopt them. Therefore, this paper calls for energy-awareness for software designers and developers to build responsible (fairness, accountability, transparency, ethical) software, they should be energy-savvy and saving energy in developing computing applications. Moreover, our findings suggest that there is a notion of saving energy but often are cost-driven, not environmental-driven. Finally, we argue it is not enough by building energy-efficient applications as it will likely result in a rebound effect (Jevon’s Paradox) as energy consumption could still rise. Therefore, we suggest that governments should impose an algorithmic audit (internal and external) principles/rules/regulations for companies to follow to reduce further harm.

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