Apple setzt auf synthetische Daten zur KI-Optimierung und schützt dabei die Privatsphäre der Nutzer.
In Kürze
- Neuer Ansatz zur KI-Optimierung ohne persönliche Daten
- Verwendung von anonymisierten Informationen und synthetischen Daten
- Geplante Einführung in kommenden Beta-Versionen
Apple’s New Approach to Optimizing AI Models
Apple has developed a new approach to optimize its AI models without relying on the personal data of iPhone and Mac users. Instead, the company uses synthetic data in conjunction with real examples such as emails or messages. This ensures that user privacy is maintained, as only anonymized information is processed.
Differential Privacy Method
The method, which Apple refers to as „differential privacy,“ adds random data to ensure that the collected information remains anonymous. This allows devices to determine which synthetic inputs most closely resemble real data and transmit this information to Apple without personal data leaving the device. A clever move that demonstrates how seriously Apple takes data protection.
Apple’s Continued Commitment to Privacy
This technique is not new for Apple; the company has been using it since 2016 to protect its users‘ privacy. Now, Apple plans to introduce this innovative AI training method in upcoming beta versions of its operating systems. This could particularly elevate the AI capabilities of services like Siri to a new level, which in the past had difficulty keeping up with the competition.
Significance of Apple’s New Strategy
With this new strategy, Apple demonstrates that it is possible to make advances in AI technology without compromising user privacy. A step that is significant not only for Apple but also for its users.
Quellen
- Quelle: Apple
- Der ursprüngliche Artikel wurde hier veröffentlicht
- Dieser Artikel wurde im Podcast KI-Briefing-Daily behandelt. Die Folge kannst du hier anhören.
