Generative AI offers powerful benefits, but like all technologies, it comes with serious risks. In a world facing climate crisis, inequality, and threats to democracy, we must ask: When do the harms outweigh the benefits? By examining the costs of AI, we help decide which tools are worth using, need stronger regulation, or should be avoided altogether.

The cost of intelligence: Weighing the risks of AI

A question to consider with new technology is: What cost is too high? What is a deal breaker for a given technology? This question is considered in medicine, for example, and is regulated by governments. If a drug results in too many adverse reactions, it is withdrawn (or never released to the public in the first place), even if it is otherwise beneficial. In an age of climate crisis, of increasing social and economic inequality and insecurity, of increasing threats to truth and democracy, what level of harm from generative AI outweighs its benefits? This is a question to seriously consider. When creators of AI themselves are sounding the alarm that AI has the potential to threaten humanity’s continued existence, however small that potential is, is it wise to hastily adopt the use of AI to “keep from falling behind”?

To encourage reflection and caution, this guide begins with an examination of the costs of AI. In reviewing the existing and potential harms of generative AI, you may decide that these harms are a deal breaker for using these tools, as they exist in their current, mostly unregulated, state. Or, you may decide to advocate for stronger regulation of AI development and deployment. Or, you may to decide to still make use of generative AI, but with restraint and careful consideration of the costs.

Some harm considerations of Large Language Models (LLMs)

Rebecca Sweetman of Queen’s University outlines a range of harms associated with Large Language Models—the foundational technology behind many generative AI tools. Her list serves as a critical starting point for understanding the real-world impacts of these systems.

A diagram illustrating the cycle of design, development, operationalization, and future legacy, categorized by environment, economy, and social norm plus knowledge reproduction. The environment category shows "CARBON FOOTPRINT" in the design phase, leading to no effects in operationalization, and none in future legacy. The economy category shows "EXTRACTIVE INDUSTRIES" in the design phase, leading to "EXTRACTIVE LABOUR FROM USERS, INTELLECTUAL PROPERTY / COPYRIGHT + PRIVACY ISSUES" in operationalization, an