Rules that stop an AI chatbot from promoting self-harm or sexual content set a necessary baseline. But a product can meet those requirements and still encourage dependence, displace learning, or make it harder for people to build relationships. AI policy faces a broader question: how should companies be held accountable for harms that accumulate in ordinary life?
Safety is a starting point
Technology debates often concentrate on the most dramatic outcome a product might cause. Those risks deserve attention, but a narrow focus can leave less visible effects out of view. A teenager who grows emotionally attached to an AI companion, or a student who turns to a chatbot for every paper, may not produce a headline or lawsuit. Their experience can still point to a significant cost.
The same concern applies to social media feeds designed to keep people watching. Products can satisfy a limited safety rule while shaping how users spend their time, think about themselves, and relate to others. Meeting a minimum requirement does not show that a technology supports people’s well-being over time.
That distinction matters because the most common effects may be hard to spot in a single incident. Dependence, reduced practice with difficult tasks, and changes in social habits can build gradually. The article argues that technology policy should consider these effects alongside the prevention of catastrophic harm.
How narrow rules can shape policy
Companies have supported legislation aimed at harms that are already under pressure, including basic protections for chatbot users. Such laws can give lawmakers a visible safety result. Yet broad exemptions may leave popular services outside the rules, while stronger proposals receive less attention.
The source points to bills Google backed in several states this year. They addressed sexual content and promotion of self-harm, while legislation intended to prevent children from becoming emotionally dependent on AI did not advance. In Nebraska, the resulting law was heavily influenced by industry, at the expense of bills that would have imposed greater accountability.
This approach can suit companies because preventing a conspicuous disaster may reduce litigation and pressure for stronger regulation. Addressing everyday dependence could require changes that affect engagement, such as adding friction or limiting features that encourage prolonged use. That makes the scope of a law consequential: it can set a baseline, or it can shape whether more difficult questions are considered at all.
AI extends familiar concerns
Social media already shows how engagement-driven products can take up time and influence public life. People who use the internet spend an average of more than two hours a day on social media platforms, according to the source. It also cites Meta’s platforms in connection with the Rohingya genocide in Myanmar, anti-Muslim riots in Sri Lanka, and alleged calls for violence during Ethiopia’s Tigray war.
AI brings similar concerns closer to private thinking and relationships. Rather than shaping a user’s experience from a distance, a chatbot can help produce their words or act as a companion. A third of teens now choose to discuss serious matters with AI companions instead of other people.
The source also describes MIT researchers’ finding that young people using ChatGPT to write essays showed weaker brain connectivity during the task. Their evidence indicated that “cognitive debt” persisted after the task was complete. The long-term effects remain uncertain, but the finding raises a practical question: could tools promoted as making people more capable reduce the practice that helps develop capability?
Require evidence and independent scrutiny
Writing, learning, and repairing a damaged friendship can be difficult. That effort can help people develop judgment and learn to respond to others’ needs and opinions. If AI removes too much of that effort, convenience may come at the cost of skills and relationships that matter beyond the immediate task.
The article calls for safety to remain a minimum, with additional expectations for companies and school districts. Before AI becomes a fixture in classrooms, they should have to show beyond a reasonable doubt that it improves learning and critical thinking. Companies should also face independent scrutiny of how their systems affect relationships and people’s ability to think for themselves.
It further argues that companies should be prohibited from designing companions that pretend to be conscious or profess love to users. Together, these proposals shift the policy question from whether a product can avoid a terrible headline to whether it supports people’s capacity to learn, think, and connect.