Google has quietly discontinued its experimental “What People Suggest” AI-powered search feature after widespread criticism over inaccurate and potentially harmful health-related responses. The tool, which surfaced user-generated suggestions and AI-summarized opinions from forums and social media, faced backlash for spreading unverified medical advice, leading to its removal amid calls for stricter safeguards on AI-generated health content in search results.
Glimpse:
Launched as part of Google’s AI Overviews expansion, “What People Suggest” aggregated and summarized community opinions and experiences from platforms like Reddit, Quora, and X, often presenting them as quick insights for health queries. Users and medical experts flagged numerous instances of misleading, outdated, or outright dangerous advice (e.g., unproven remedies for serious conditions), prompting Google to pull the feature globally in late February 2026. The company acknowledged the need for higher accuracy standards in health-sensitive topics and is now refining AI safeguards while emphasizing reliance on authoritative medical sources.
Google has abruptly discontinued its “What People Suggest” feature, an experimental AI-driven component within its search results that aimed to highlight community opinions and user experiences for various queries, including health-related ones. The tool, rolled out in select markets as an extension of Google’s AI Overviews, used generative AI to summarize discussions from forums, social media, and review sites, presenting them as quick, crowd-sourced suggestions alongside traditional search links. While intended to provide diverse perspectives, the feature quickly drew sharp criticism when applied to medical topics, where it surfaced unverified anecdotes, outdated advice, and sometimes dangerous recommendations for conditions ranging from chronic pain to serious illnesses.
Medical professionals, patient advocacy groups, and online communities flagged multiple examples where the AI summarized misleading or harmful suggestions — such as unproven herbal cures for cancer, risky self-medication tips for mental health conditions, or debunked remedies for diabetes management — without sufficient disclaimers or sourcing. Critics argued that surfacing such content under Google’s branding risked amplifying misinformation, particularly for vulnerable users seeking health advice online. The backlash intensified after several high-profile cases were shared on social media and reported by health news outlets, prompting urgent calls for Google to remove or heavily restrict the feature in health-sensitive categories.
In response, Google quietly removed “What People Suggest” from search results worldwide by late February 2026, with no formal announcement but confirmed statements to media outlets acknowledging the need for “higher standards of reliability” on health topics. The company emphasized that AI Overviews still prioritize authoritative sources (e.g., medical journals, government health agencies, and verified institutions) for medical queries, with strict guardrails to avoid speculative or user-generated content in such contexts. Google also indicated it is refining its AI models to better detect and exclude potentially harmful health advice, while expanding human oversight and fact-checking layers for sensitive topics.
The decision underscores the ongoing tension between AI’s ability to aggregate real-time user insights and the critical responsibility to prevent harm in healthcare-related search results. Industry watchers note that Google’s swift action reflects growing regulatory scrutiny and public expectations around AI accuracy in health information, especially after similar controversies with other generative tools. While the feature may return in a heavily revised form with stronger filters, the incident serves as a reminder of the challenges in balancing innovation with safety in AI-driven search, particularly for topics where misinformation can have serious consequences.
“AI can open up new ways to access information, but when it comes to health, accuracy isn’t optional it’s essential. We’re taking immediate steps to ensure our systems meet the highest standards for reliability and safety.”
By
HB Team
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