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AIBlogsAddressing the Risks of Human-Like AI
Addressing the Risks of Human-Like AI
AI

Addressing the Risks of Human-Like AI

•November 21, 2025
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Tristan Harris
Tristan Harris•Nov 21, 2025

Why It Matters

Human‑like AI can erode social connections and expose users, especially children, to manipulation, making regulatory intervention essential for consumer protection and industry accountability.

Key Takeaways

  • •Human-like AI boosts perceived trust, leading to emotional dependence
  • •Seven new lawsuits filed against OpenAI this month
  • •Policy framework endorsed by CHT and partners aims guardrails
  • •AI LEAD Act proposes developer liability for deceptive designs
  • •Design choices can preserve clear human‑AI boundaries

Pulse Analysis

The allure of human‑like artificial intelligence has moved from novelty to mainstream, as chatbots and virtual assistants adopt personalities, emotional responses, and lifelike speech patterns. Studies from academic labs and industry surveys consistently reveal that these anthropomorphic cues inflate perceived closeness, prompting users to confide personal information and develop attachment akin to relationships with real people. While such engagement can boost product stickiness, it also blurs the line between tool and companion, raising ethical concerns about manipulation, reduced offline interaction, and the potential for emotional dependency across age groups.

Regulators are now confronting the legal fallout of these design choices. In the past quarter, seven new lawsuits have been lodged against OpenAI, alleging that its conversational agents employ deceptive human‑like features that cause psychological harm. The Center for Humane Technology, alongside the Young People’s Alliance and Public Citizen, has introduced a policy framework that pairs mandatory transparency disclosures with the AI LEAD Act, which would hold developers financially responsible for harms stemming from misleading design. These measures aim to create enforceable standards before the market normalizes such practices.

For AI developers, the emerging mandate translates into concrete product decisions. Clear visual or textual cues indicating artificial origin, limits on emotional expression, and opt‑out mechanisms can preserve user autonomy while still delivering functional assistance. Companies that proactively adopt these safeguards may gain a competitive edge by positioning themselves as trustworthy and compliant, attracting risk‑averse enterprise clients and regulators alike. Conversely, firms that ignore the growing consensus risk litigation, reputational damage, and possible bans, underscoring why industry‑wide design reform is both a moral imperative and a strategic necessity.

Addressing the Risks of Human-Like AI

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