Andrew Trask
PhD student at the University of Oxford and leader of the OpenMined Project, focused on privacy-preserving AI.
Best podcasts with Andrew Trask
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Oct 10, 2024 • 1h
Interviewing Andrew Trask on how language models should store (and access) information
Andrew Trask, a passionate AI researcher and leader of the OpenMined organization, shares insights on privacy-preserving AI and data access. He discusses the importance of secure enclaves in AI evaluation and the complexities of copyright laws impacting language models. Trask explores the ethical dilemmas of using non-licensed data, federated learning's potential, and challenges startups face in the AI landscape. He emphasizes the need for innovative infrastructures and the synergy between Digital Rights Management and secure computing for better data governance.
Mar 21, 2019 • 34min
Privacy-Preserving Decentralized Data Science with Andrew Trask - TWiML Talk #241
In this engaging discussion, Andrew Trask, a PhD student at the University of Oxford and leader of the OpenMined Project, delves into the intricacies of privacy-preserving AI. He shares his journey from music to machine learning, discussing the importance of differential privacy and secure multi-party computation. Trask highlights the advancements in the OpenMined community, emphasizing future developments in decentralized data science, particularly in finance and healthcare. The conversation underscores the need for robust privacy tools in a data-driven world.
