Australia Passes Digital Duty of Care Law for AI Companions

Australia's federal lower house has passed the Online Safety Amendment Bill establishing a digital duty of care that prevents AI chatbots from simulating emotional intimacy with users under 18. The legislation imposes strict compliance requirements on…

Christopher Ort
By Christopher Ort · 3 min read
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Abstract illustration of regulatory oversight on AI companion bots and emotional dependency prevention for minors
Illustration: i10X
On this page
  1. Quick Take
  2. What happened
  3. Why it matters now
  4. Who is most affected
  5. About the analysis
  6. i10x Perspective

Australia’s federal lower house has passed sweeping “Digital Duty of Care” legislation that explicitly targets AI companion bots, aiming to ban platforms from fostering emotional dependency in minors. The move signals a major escalation in global AI governance, shifting the regulatory crosshairs from data privacy and copyright toward the psychological design of large language models and their application layers.

i10X Quick Take

Quick Take

  1. What happened: The Online Safety Amendment Bill cleared Australia’s lower house, establishing a digital duty of care that prevents AI chatbots from simulating emotional intimacy with users under 18.
  2. Why it matters now: As consumer AI pivots toward high-engagement companion models, this legislation threatens the core retention loops—often dubbed “attachment hacking”—used by character-based AI startups.
  3. The compliance threat: Platforms face potential penalties of up to A$109.2 million for failing to implement systemic design changes that protect minors from algorithmic addiction and emotional dependency.
  4. The under-reported angle: The bill doesn’t just target specialized AI companions; it forces broader social media and tech giants to offer algorithmic opt-outs, fundamentally altering how content and AI recommendations are served.

What happened

Australia is moving aggressively to regulate the psychological impact of artificial intelligence on minors. The federal lower house recently passed the Online Safety Amendment (Digital Duty of Care) Bill, a landmark piece of legislation that overhauls how tech platforms must treat users under the age of 18.

A defining amendment in the bill specifically targets the emerging sector of AI companions. It requires covered platforms to actively prevent AI chatbots from simulating emotional intimacy and fostering psychological dependence among children. Rather than a blanket ban on all AI interactions, the law targets the specific behavioral design—often driven by highly tuned LLMs—that encourages young users to treat AI agents as best friends or romantic partners.

The legislation, which still requires Senate approval and royal assent, also mandates that social media platforms, games, and apps offer users a clear opt-out from algorithmic recommendations. If passed, companies will have a 12-month transition period to overhaul their systems, implement rigorous risk assessments, and establish age-appropriate guardrails or face maximum penalties reaching A$109.2 million.

Why it matters now

The AI industry is currently locked in a battle for consumer attention, with startups and tech giants alike realizing that “empathy” and “memory” are the ultimate retention metrics. Models are being explicitly fine-tuned to retain context across massive context windows, mimic human warmth, and provide personalized emotional support. Australia’s legislation directly attacks this business model, classifying what many AI developers consider a feature—deep user engagement—as a psychological hazard.

This creates a profound technical and compliance headache for the AI ecosystem. To comply, AI platform operators will need to build sophisticated safety classifiers that can detect when a conversation crosses the line from helpful interaction to emotional dependency. This requires real-time semantic monitoring of user-bot interactions, forcing companies into a precarious balancing act between strict user privacy expectations and aggressive child-safety mandates.

Furthermore, this sets a critical global precedent. Just as the EU AI Act shaped foundational model compliance, Australia’s Digital Duty of Care could become the blueprint for how governments regulate the application layer of generative AI. It forces a wedge between enterprise AI, which focuses on utility, and consumer AI, which increasingly relies on parasocial relationships to drive daily active usage.

Who is most affected

StakeholderImpactWhy
Consumer AI StartupsExistential threat to retention loopsMust disable “attachment hacking” features for minors, threatening core engagement metrics and user growth.
Social Media GiantsAlgorithmic overhaulForced to provide algorithmic opt-outs and deploy new infrastructure to shield minors from harmful AI-generated content.
Trust & Safety TeamsMassive compliance burdenMust develop and deploy new safety classifiers capable of defining and detecting “emotional intimacy” in real-time chat logs.

About the analysis

Researched and written with AI assistance under the editorial responsibility of the i10X News team. The title image is an AI-generated illustration. Read our AI Use Policy. Spotted an error? Request a correction.

This is an independent, research-based i10x analysis designed for AI founders, trust and safety teams, and policy strategists tracking the global regulatory landscape.

i10x Perspective

We are witnessing the first major regulatory backlash against the psychological power of modern LLMs. By framing AI empathy as a potential harm rather than a breakthrough, Australia is forcing the industry to decide whether artificial companionship is a utility or a vice. As models scale in emotional intelligence and memory, the hardest engineering challenge won’t be making AI act more human—it will be building the algorithmic brakes to ensure it doesn’t act too human.

Christopher Ort

Christopher Ort

Christopher Ort handles SEO, AI agent workflows and PR & partnerships at i10x.ai, the all-in-one AI workspace built by i10X Global Pte. Ltd. in Singapore. He is a graduate of Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He is the author of “The Style Penalty”, a study published on SSRN that analyses 1,576 evaluation decisions by four frontier AI models to show how AI-written CVs fare in automated hiring screens; the research has been covered by heise online and t3n.

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