Masters of Privacy Stefano Bennati: dealing with privacy threats in generative AI
Dr. Stefano Bennati has over a decade of experience developing tools and processes to ensure data-centric organizations comply with privacy, licensing, and responsible AI standards.
Our guest has led privacy engineering and responsible AI teams with a global mandate. His work includes building and deploying compliance tools such as code scanners, AI-powered algorithms for personal data detection and anonymization, design processes for compliance with ISO 27701 Privacy IMS and ISO 42001 AI IMS standards. His latest work is a book (co-authored with Dr. Engin Bozdağ) is titled “AI Governance: Secure, privacy-preserving, ethical systems”, a practical and accessible guide to govern AI and mitigate security, privacy, ethics and regulatory risks.
References:
* Dr. Stefano Bannati on LinkedIn
* AI Governance: Secure, privacy-preserving, ethical systems (Engin Bozdağ, Stefano Bennati) - Use this code to get a 50% discount between Nov 25 and Dec 9th 2025: MLBozdag.
* Lokke Moerel: using personal data in the development and deployment of AI models (Masters of Privacy, December 2024)
* An overview of machine unlearning (Chunxiao Li et al., 2025)
* Discussion Paper: Large Language Models and Personal Data (Hamburgische Beauftragte für Datenschutz und Informationsfreiheit)
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