Why Data Portability Is Crucial For The AI Future
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Aug 19, 2025 Chris Riley, Executive Director of the Data Transfer Initiative, dives into the critical need for data portability in the age of AI. He emphasizes how user control over personal data is vital to prevent AI from controlling us. The discussion also tackles the challenges of service lock-in and the competitive landscape of AI providers. Furthermore, Riley highlights the shift towards locally hosted AI models driven by trust issues, and the importance of regulations like the DMA and GDPR in fostering a robust data portability ecosystem.
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DTI Pilot With Inflection Shows Feasibility
- DTI worked with Inflection to make both sides of conversation history available in structured form.
- Early importer experiences show other systems can learn from migrated histories with minimal formatting work.
Store A Master Copy You Control
- Keep a master copy of your personal AI data under your control and grant selective access to services.
- Retain the right to delete copies held by third parties to regain control.
Segregate Sensitive Histories Deliberately
- Combining distinct personal histories (e.g., therapy vs. work drafts) can create unwanted cross-pollination.
- Users need education and deliberate choices when transferring sensitive histories.
