Source URL: https://tech.slashdot.org/story/25/02/28/2021259/mozilla-responds-to-backlash-over-new-terms-saying-its-not-using-peoples-data-for-ai?utm_source=rss1.0mainlinkanon&utm_medium=feed
Source: Slashdot
Title: Mozilla Responds To Backlash Over New Terms, Saying It’s Not Using People’s Data for AI
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Summary: Mozilla has faced backlash regarding its Firefox browser terms of service, which were interpreted as permitting data use for AI training. The company has firmly denied these allegations, affirming that its AI functionalities operate locally and that any shared data is de-identified.
Detailed Description: The recent update to Mozilla’s Firefox browser terms of service has sparked controversy, as the language was interpreted by some as allowing the collection of user data for AI training purposes. Key points include:
– Mozilla’s statement insisting that the changes are not aimed at monetizing user data or using it for AI training.
– A spokesperson emphasized that data use is confined to what is disclosed under the Privacy Notice, reinforcing Mozilla’s commitment to user privacy.
– Any AI features are claimed to process data locally on users’ devices, thereby not transmitting user content to Mozilla’s servers.
– Data shared with advertisers is only provided in a de-identified or aggregated form, protecting individual user identities.
– The inclusion of terms like “nonexclusive,” “royalty-free,” and “worldwide” in the contract was explained as necessary for the Firefox model, which remains free and globally available, allowing users to control their data.
This incident reflects ongoing tensions between tech companies’ data usage policies and user privacy concerns, especially in the context of AI. Security and compliance professionals should note the implications for data governance practices and the necessity for clear communication regarding user data handling.
– Organizations should review their terms of service to avoid misunderstandings that may lead to public outcry.
– It is vital for companies to maintain transparency about data practices and ensure users are informed about how their data is used, especially concerning AI functionality.