The challenge of building and using AI systems without compromising personal data. This spans the entire lifecycle: training data that might contain private information, models that can memorize and regurgitate personal details, inference logs that track user behavior, and the fundamental tension between AI capability (which improves with more data) and privacy rights.
Why it matters
Every conversation with an AI is data. Every image you generate reveals your prompts. Every document you summarize passes through someone's servers. Privacy isn't just a legal checkbox (GDPR, CCPA) — it's a trust issue that determines whether individuals and enterprises will adopt AI for sensitive work.