Samsung TVs use AI to record audio and screenshots for targeted ads, says cybersecurity bounty hunter

A cybersecurity bounty hunter has alleged that Samsung TVs use artificial intelligence to record audio and capture screenshots of users for targeted advertising. The claim was made by ngxson, a researcher known for uncovering security vulnerabilities in consumer electronics. The researcher stated that the AI system embedded in Samsung TVs collects data without explicit user consent, raising significant privacy concerns.

The issue comes to light as part of a broader trend of smart devices gathering user data for commercial purposes. Samsung TVs, which run on the Tizen operating system, have been found to use AI models that track user behavior, including audio recordings and visual captures. This data is reportedly used to refine ad targeting, making the viewing experience more personalized but at the cost of user privacy.

According to the evidence, Samsung TVs and Tizen OS have been linked to the collection of 216 different data points, many of which are sensitive and could be used for profiling users. The researcher also noted that this practice is not unique to Samsung, as other brands like LG have faced similar accusations of breaching user privacy through data collection. The scale of data gathered by these devices has raised questions about the extent of surveillance in the smart home ecosystem.

The implications of such data collection practices extend beyond privacy concerns. Users may face increased risks of data breaches, unauthorized access, and potential misuse of personal information. Companies that rely on such data for targeted advertising may also face regulatory scrutiny and reputational damage. The lack of transparency in how data is collected and used could lead to long-term consequences for both users and manufacturers.

The situation remains under investigation, with the cybersecurity community urging greater transparency and regulation around AI-driven data collection in consumer electronics. As the use of smart devices continues to grow, the need for robust data governance and user consent mechanisms becomes increasingly critical. Until clearer guidelines are established, users may need to reconsider the trade-offs between convenience and privacy in their connected devices.