Patricia Thaine, co-founder and CEO of Private AI, specializes in privacy-preserving AI techniques. She dives into the critical issues of data minimization, the risks of personal data leakage from large language models (LLMs), and the challenges of redacting sensitive information across different formats. Patricia highlights the limitations of data anonymization, the balance between real and synthetic data for model training, and the evolving landscape of AI regulations like GDPR. She also discusses the ethical considerations surrounding bias in AI and the future of privacy in technology.
