AI assistants are being connected to the places people keep personal information. OpenAI, Google, and Meta have introduced chatbot features that can search the web or work with services such as email, calendars, and social media. That convenience also raises the consequences when an AI system gives a false answer or follows a malicious instruction.
Assistants are moving into everyday accounts
OpenAI added spoken conversations with ChatGPT in a synthetic voice and the ability to search the web. Google’s Bard can connect with Gmail, Docs, YouTube, and Maps, giving users a way to ask questions about their own content or organize a calendar. It can also retrieve information from Google Search.
Meta announced chatbots and celebrity AI avatars for WhatsApp, Messenger, and Instagram. These assistants can retrieve online information through Bing search. Across these products, the common pitch is that a chatbot can help users find information and handle tasks through a familiar conversation.
That role makes reliability matter. A chatbot connected to private messages or email has access to information that users may not want exposed. If it can also browse websites, outside content may influence how it behaves.
Two persistent weaknesses create risk
Language models can make things up, a problem often called hallucination. They can also be targeted with indirect prompt injection: someone alters a website with hidden text intended to change an AI system’s behavior. A user may be directed to that page through social media or email, allowing the hidden instruction to reach an assistant while it is working with personal information.
The potential consequence described in the source is an attacker trying to extract sensitive details, such as credit card information. Connecting assistants to email and social platforms creates more ways for malicious instructions to reach them. The source says the attack is easy to execute and has no known fix.
These weaknesses compound each other. A system that can access private information and browse the web has both valuable data and exposure to outside content. If the assistant responds unpredictably, users may have difficulty knowing whether an answer reflects their own records, a mistake, or an attempted manipulation.
Safeguards remain a work in progress
Google described Bard as an “experiment” and said users can check its answers with Google Search. The company also encouraged users to flag inaccurate responses with the thumbs-down button. That feedback may help the system improve, but it asks people to notice the error first. As the source observes, people can put too much trust in computer-generated answers.
On prompt injection, Google said the problem is not solved and remains an active research area. Its stated defenses include spam filters, adversarial testing, red teaming exercises, and specially trained models intended to identify known malicious inputs and unsafe outputs.
Those measures show that the risks are recognized, while also making clear that defenses are still being developed. The source reports that Meta did not reply before publication and OpenAI did not comment on the record. It does not describe a confirmed solution to prompt injection.
Convenience depends on trust
An example from early use illustrates why confident answers deserve scrutiny: New York Times columnist Kevin Roose found that Google’s assistant summarized emails well but also described emails that were not in his inbox. A system can be useful for one task and still produce a claim that does not match the underlying account.
That uncertainty can affect whether people want an assistant handling private information. If users repeatedly encounter mistakes, or cannot tell when a response is reliable, the product’s convenience may not be enough to earn their trust. A technical failure can also have a security dimension when the assistant can act on information from connected accounts.
The central question is not only whether AI assistants can perform helpful tasks. It is whether users can safely give them access while the systems remain vulnerable to hallucinations and hidden prompts. Until reliability and defenses improve, connecting an assistant to an inbox or private messages means accepting risks that users may not be able to spot on their own.