GoKawiilCritics say AI-safety rules target rare disasters, not everyday dependence harms
An analysis argues that AI and social-media companies focus safety efforts on preventing high-profile disasters—the kind that trigger lawsuits or headlines—while ignoring subtler, widespread harms like emotional dependence on chatbots or engagement-driven feeds. It cites Google backing state-level chatbot bills in 2025 that banned sexual content and self-harm promotion but included broad exemptions, while tougher measures aimed at preventing emotional dependency failed, including in Nebraska.
GoKawiil's interpretation of the reporting above, not reported fact.
The piece suggests that narrowly defined safety rules let companies and lawmakers claim progress while avoiding changes to addictive design features that are central to business models. This mirrors earlier regulatory fights over social media, implying that without broader rules targeting everyday harms, companies may keep shaping legislation to protect engagement-driven revenue rather than user wellbeing.
- Everyday harms like AI dependency or algorithm-driven comparison rarely trigger lawsuits or headlines, unlike dramatic safety failures.
- Google backed state chatbot bills addressing sexual content and self-harm, but these included broad carve-outs exempting popular services.
- Stronger bills aimed at preventing emotional dependency on AI, such as in Nebraska, failed amid industry-influenced legislative efforts.
Source: technologyreview.com — Sam Hiner, 2026-10-26
Published there as: “The focus on AI safety disasters ignores everyday harms”
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