I watched a talk called AI is dangerous, but not for the reasons you think.
Environmental Pollution and Energy Consumption:
AI training leads to significant environmental pollution. I can delve into the energy requirements of AI training, especially the energy consumption in large data centers. This can serve as a part of the environmental rationale for supporting AI taxation, particularly in a society emphasizing sustainable development.
Data Privacy and Copyright Infringement:
The extensive use of data in AI training may infringe on individual privacy rights and pose copyright issues for data owners. This could be an argument for why taxing AI is a means of protecting individual rights and data security.
Bias:
Bias mentioned in the speech, such as gender and racial biases in generating images. This can be used to emphasize the necessity of regulating AI products and ensuring fairness, possibly enforced through taxation.
AI as a Luxury Good:
Based on environmental and social costs, I suggest treating AI products as luxury goods, supporting the imposition of consumption taxes on them. This viewpoint can be linked to practices with taxes on other luxury goods to maintain a balance in society and the environment.
International Comparisons:
Compare different countries’ taxation policies on AI to see if there are similar practices and how these policies impact society and the economy.
