AI governance needs to consider users’ emotional responses
A perspective published in Nature argues that AI governance frameworks should account for how users emotionally respond to AI systems, not just technical performance or factual accuracy.
Why this matters: Most AI rules focus on outputs: is the answer correct, is the data protected, was the decision fair. This argument says that is not enough. People form attachments to AI, feel distressed when it behaves unexpectedly, and can be manipulated through emotional design. If governance ignores that, it leaves a wide-open lane for companies to build systems that feel trustworthy without being trustworthy. Emotional impact on users is not a soft concern. It is a real lever, and right now almost nobody is watching it.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
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