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AI chatbots have become trusted companions for work and personal conversations, yet their use carries hidden risks.<\/p>\n
Adobe Stock<\/p>\n
AI chatbots like ChatGPT, Gemini and Grok are increasingly woven into the fabric of everyday life.<\/p>\n
Interestingly, recent research shows that the most popular use for them today is therapy<\/a>, and people often feel safe to discuss issues they wouldn\u2019t feel comfortable talking about with other humans.<\/p>\n From writing job applications to researching legal issues and discussing intimate medical details, one perceived benefit of them is that people believe their conversations will remain private.<\/p>\n And from a business perspective, they have proven themselves to be powerful tools for drafting policies, defining strategies, and analyzing corporate data.<\/p>\n But while we may feel reasonably anonymous as we chat away, it\u2019s important to remember chatbots are not bound by any of the same confidentiality rules as doctors, lawyers, therapists, or employees of organizations.<\/p>\n In fact, when safeguards fail or people use them without fully understanding the implications, very sensitive and potentially damaging information could be exposed.<\/p>\n Unfortunately, this risk isn\u2019t just hypothetical. Recent news reports<\/a> highlight several incidents where this sort of data leak has already happened.<\/p>\n This raises a worrying question: without a serious rethink of how generative AI services are used, regulated and secured, could we be sleepwalking towards a privacy catastrophe?<\/p>\n So what are the risks, what steps can we take to protect ourselves, and how should society respond to this serious and growing threat?<\/p>\n How Do Chatbots And Generative AI Threaten Privacy?<\/p>\n There are several ways that information we might reasonably expect to be protected can be exposed when we put too much trust in AI.<\/p>\n The recent ChatGPT \u201cleaks\u201d, for example, reportedly occurred when users didn\u2019t realize that the \u201cshare\u201d function could make the contents of their conversations visible on the public internet.<\/p>\n The share functionality is designed to allow users to take part in collaborative chats with other users. However, in some cases, this meant they also became indexed and searchable by search engines. Some of the information inadvertently made public in this way included names and email addresses<\/a>, meaning the participants of the chat could be identified.<\/p>\n It was also recently revealed that up to 300,000 chats between users and the Grok chatbot had been indexed and made publicly visible in the same way.<\/p>\n While these issues seem to have been caused by users\u2019 misunderstanding of features, other, more nefarious security flaws have emerged. In one case, security researchers found that Lenovo\u2019s Lena chatbot could be \u201ctricked\u201d into sharing cookie session data<\/a> via malicious prompt injections, allowing access to user accounts and chat logs.<\/p>\n And there are other ways that privacy can be infringed upon besides chat logs. Concerns have already been raised over the dangers of nudification<\/a> apps that can be used to create pornographic images of people without their consent. But one recent incident suggests this can even happen without user intent; Grok AI\u2019s recent \u201cspicy\u201d mode is reported to have generated explicit images of real people without even being prompted to do so.<\/p>\n The worry is that these aren\u2019t simple, one-off glitches, but systemic flaws with the way that generative tools are designed and built, and a lack of accountability for the behavior of AI algorithms.<\/p>\n Why Is This A Serious Threat To Privacy?<\/p>\n There are many factors that could be involved in exposing our private conversations, thoughts and even medical or financial information in ways we don\u2019t intend.<\/p>\n Some are psychological \u2014 like when the feeling of anonymity we get when discussing private details of our lives prompts us to over-share without thinking about the consequences.<\/p>\n This means that large volumes of highly sensitive information could end up being stored on servers that aren\u2019t covered by the same protections that should be in place when dealing with doctors, lawyers, or relationship therapists.<\/p>\n If this information is compromised, either by hackers or poor security protocols, it could lead to embarrassment, risk of blackmail or cyberfraud, or legal consequences.<\/p>\n