Privacy and Control in LLM-Assisted Writing: Best Practices and Safeguards
- Fachvortrag
- Inhaltserstellung & Redaktion
- 11. November
- 05:45 PM (MEZ) - 06:30 PM (MEZ)
- C7.1
-
Mr Radu Coravu
- Oxygen XML Editor (Syncro Soft)
Inhalt
This presentation explores essential safeguards and best practices for maintaining user control and privacy in LLM-assisted writing environments. We'll demonstrate how to implement a comprehensive framework that empowers users to review and approve all AI-generated changes before acceptance, with the ability to reject modifications that don't meet their standards.
The session covers establishing secure sandboxes that restrict which files the LLM can access, preventing unauthorized data exposure. Critically, we'll showcase techniques for protecting sensitive information—including credit card numbers, proprietary product names, and confidential data—by implementing intelligent masking and replacement mechanisms that substitute real values with placeholder text before sending content to AI systems.
Das lernen Sie
Maintain privacy and user control in LLM-assisted writing. Learn to implement review mechanisms, secure file sandboxes, and intelligent masking for sensitive data like credit cards and un-release product names before AI processing.
Vorkenntnisse
Technical documentation professionals