This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility: If you read about AI, you'll find a widespread belief: When people don't want to use AI, it's because they're afraid or just don't understand it. They're afraid of losing their jobs or of change generally.
Or they don't understand the technology, so they can't see the benefits. They're stuck in the past. These contentions frame not using AI as irrational.
Intentionally or not, this shuts down real conversations about why people opt not to use the tech and instead makes that choice into a problem to be solved, something to be overcome. But in our recent paper, we point out that there are entirely rational reasons why people might choose to put in the effort of doing something themselves instead of using AI. The study is published in the journal AI and Ethics.
AI's appeal comes down to one big promise: It can save us effort. Take generative AI such as ChatGPT as an example. It makes writing easier, quickly summarizes long documents, and can produce images or music on demand.
Many of the arguments for embracing AI are based on being able to do things more efficiently. If you think about what we do through the lens of efficiency, adopting AI seems like the obvious, sensible choice. Surely, if you can get the same result with less work, cutting effort is the rational choice?
This basic idea has driven waves of automation throughout history. Following its logic, using AI starts to look like the only rational option, and choosing not to use it starts to look strange, like something that needs to be explained. If you read a lot about AI adoption, you'll find this attitude is common.
Extract — continue reading at the source.
