Navigating the AI Privacy Landscape: Balancing Innovation with Security

As AI continues to evolve, the scale and scope of data collection are rapidly expanding, raising critical questions about data ownership, consent, and ethical usage. The vast datasets fueling AI innovation come with hidden challenges—how is this data being used, and do we have the rights to it? These issues are no longer just technical concerns; they strike at the heart of user trust and privacy in the digital age. Data Dynamics recently caught up with Predrag Dizdarevic, Partner at element22, to understand how organizations can navigate these complexities while maintaining user trust and adhering to ethical AI practices. Curious to know how your organization can stay ahead in this evolving landscape? Watch the full interview for actionable insights on how AI and privacy can co-exist while fostering innovation and safeguarding user data rights. It’s a thought-provoking discussion that invites reflection on the future of data privacy and AI ethics.