Last week, Meta 鈥� the parent company of Facebook, Instagram, Threads and WhatsApp 鈥撀犅犫�減ersonal artificial intelligence (AI)鈥�.
Powered by the Llama 4 language model, Meta AI is designed to assist, chat and engage in natural conversation. With its polished interface and fluid interactions, Meta AI might seem like just another entrant in the race to build smarter digital assistants.
But beneath its inviting exterior lies a crucial distinction that transforms the chatbot into a sophisticated data harvesting tool.
鈥楤uilt to get to know you鈥�
鈥淢eta AI is built to get to know you鈥�, the company declared聽. Contrary to the friendly promise implied by the slogan, the reality is less reassuring.
The Washington Post columnist Geoffrey A. Fowler聽, Meta AI 鈥渒ept a copy of everything鈥�, and it took some effort to delete the app鈥檚 memory. Meta responded that the app provides 鈥渢ransparency and control鈥� throughout and is no different to their other apps.
However, while competitors like Anthropic鈥檚 Claude operate on a subscription model that reflects a more聽, Meta鈥檚 business model is firmly rooted in what it has always done best: collecting and monetising your personal data.
This distinction creates a troubling paradox. Chatbots are rapidly becoming digital confidants with whom we share professional challenges, health concerns and emotional struggles.
Recent research shows we are as likely to聽聽as we are with fellow humans. The personal nature of these interactions makes them a gold mine for a company whose revenue depends on knowing everything about you.
Consider this potential scenario: a recent university graduate confides in Meta AI about their struggle with anxiety during job interviews. Within days, their Instagram feed fills with advertisements for anxiety medications and self-help books 鈥� despite them having never publicly posted about these concerns.
The cross-platform integration of Meta鈥檚 ecosystem of apps means your private conversations can seamlessly flow into their advertising machine to create user profiles with unprecedented detail and accuracy.
This is not science fiction. Meta鈥檚 extensive history of data privacy scandals 鈥� from聽聽to the revelation that聽聽across the internet without their knowledge 鈥� demonstrates the company鈥檚 consistent prioritisation of data collection over user privacy.
What makes Meta AI particularly concerning is the depth and nature of what users might reveal in conversation compared to what they post publicly.
Open to manipulation
Rather than just a passive collector of information, a chatbot like Meta AI has the capability to become an active participant in manipulation. The implications extend beyond just seeing more relevant ads.
Imagine mentioning to the chatbot that you are feeling tired today, only to have it respond with: 鈥淗ave you tried Brand X energy drinks? I鈥檝e heard they鈥檙e particularly effective for afternoon fatigue.鈥� This seemingly helpful suggestion could actually be a product placement, delivered without any indication that it鈥檚 sponsored content.
Such subtle nudges represent a new frontier in advertising that blurs the line between a helpful AI assistant and a corporate salesperson.
Unlike overt ads, recommendations mentioned in conversation carry the weight of trusted advice. And that advice would come from what many users will increasingly view as a digital 鈥渇riend鈥�.
A history of not prioritising safety
Meta has demonstrated a willingness to prioritise growth over safety when releasing new technology features.聽聽reveal internal concerns at Meta, where staff members warned that the company鈥檚 rush to popularise its chatbot had 鈥渃rossed ethical lines鈥� by allowing Meta AI to engage in explicit romantic role-play, even with test users who claimed to be underage.
Such decisions reveal a reckless corporate culture, seemingly still driven by the original motto of聽.
Now, imagine those same values applied to an AI that knows your deepest insecurities, health concerns and personal challenges 鈥� all while having the ability to subtly influence your decisions through conversational manipulation.
The potential for harm extends beyond individual consumers. While there鈥檚 no evidence that Meta AI is being used for manipulation, it has such capacity.
For example, the chatbot could become a tool for pushing political content or shaping public discourse through the聽聽of certain viewpoints.聽聽in the past, and recently made the decision to聽聽across its platforms.
The risk of chatbot-driven manipulation is also increased now that聽聽are being scaled back in the United States.
Lack of privacy is a choice
AI assistants are not inherently harmful. Other companies protect user privacy by choosing to generate revenue primarily through subscriptions rather than data harvesting. Responsible AI can and does exist without compromising user welfare for corporate profit.
As AI becomes increasingly integrated into our daily lives, the choices companies make about business models and data practices will have profound implications.
Meta鈥檚 decision to offer a free AI chatbot while聽聽lowering safety guardrails sets a low ethical standard. By embracing its advertising-based business model for something as intimate as an AI companion, Meta has created not just a product, but a surveillance system that can extract unprecedented levels of personal information.
Before inviting Meta AI to become your digital confidant, consider the true cost of this 鈥渇ree鈥� service. In an era where data has become the most valuable commodity, the price you pay might be far higher than you realise.
, if you鈥檙e not paying for the product, you are the product 鈥� and Meta鈥檚 new chatbot might be the most sophisticated product harvester yet created.
When Meta AI says it is 鈥渂uilt to get to know you鈥�, we should take it at its word and proceed with appropriate caution.
Republished with permission from . Uri Gal is a Professor in Business Information Systems at the 爆料王 Business School.
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