Slashdot: Neon Pays Users To Record Their Phone Calls, Sell Data To AI Firms

Sep 25, 2025

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Source URL: https://news.slashdot.org/story/25/09/24/2034203/neon-pays-users-to-record-their-phone-calls-sell-data-to-ai-firms?utm_source=rss1.0mainlinkanon&utm_medium=feed
Source: Slashdot
Title: Neon Pays Users To Record Their Phone Calls, Sell Data To AI Firms

Feedly Summary:

AI Summary and Description: Yes

Summary: The text outlines concerns about Neon Mobile, an app that compensates users for recording phone calls and selling the data to AI companies. Its terms of service grant extensive rights over user data, raising privacy and security issues, particularly regarding potential misuse for fraud through voice imitation.

Detailed Description: The text discusses the implications of Neon Mobile, an application securing a significant position in the social networking space, particularly within Apple’s U.S. App Store. Key points to note include:

– **Monetization of User Data**: Neon Mobile pays users up to $30 per day for recording their phone calls, highlighting a model that incentivizes the monetization of personal data.
– **Terms of Service and User Data Rights**: The app’s terms confer an extensive license over recorded audio, allowing the company to exploit user data in various ways without much limitation, including for the purpose of enhancing AI systems.
– **Privacy Risks**: Despite claims of only capturing one side of calls, the potential for user data misuse is significant. Legal and cybersecurity experts warn that such recorded data could facilitate impersonation and fraud.
– **Algorithm Training**: The app explicitly states its intent to sell data to AI companies for developing machine learning models, raising questions about the ethics of data collection and consent.
– **Beta Features and Security Options**: Users involved with beta features might encounter significant risks due to potential bugs and lack of warranties, indicating a broader concern regarding software security and user protection.

These points indicate a growing intersection between personal data collection, privacy concerns, and artificial intelligence, which security and compliance professionals must navigate carefully to ensure proper safeguards are in place for user data. The detailed discussions surrounding the implications of such applications underscore the necessity for robust privacy frameworks and transparency in data handling practices.

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