Speakers
Synopsis
Artificial Intelligence is the seminal technology of today. In the age of AI, privacy considerations are more relevant than ever – a fact which is unanimously reflected in AI principles and regulations globally. Concurrently, the realms of privacy and security are becoming increasingly more interrelated. Professionals from both industries have much to gain through adopting a comprehensive strategy to secure data, especially personal data, and protect privacy.
As AI introduces greater benefits and risks, a sound understanding of the intersection of privacy and AI serves a pre-requisite for organisations attempting a purposeful integration of security and privacy. This presentation will draw from research at the cutting edge of AI, policy, industry and academia to explore this important intersection.
Beyond a high-level consensus, the intersection of privacy and AI is more nuanced. Good privacy can work hand in hand with promoting Safe and Responsible AI, and uses of AI can actively promote privacy goals (e.g. generative AI for synthetic data). Conversely, the data-heavy pre-requisites of AI development are in direct conflict with certain privacy principles (e.g. data minimalisation), and simple approaches to privacy can make assessing and mitigating AI harms more difficult. Getting the balance of this intersection right is important.
Lastly, this presentation leverages industry experience to discuss some of the practical challenges for providers and users of AI systems who are currently caught in an uncertain environment including, how to better leverage existing privacy capacities and actions in the interim of regulation.
