Human Computer Interaction and Online Privacy

Where did recommender systems come from, and how do we know when they're actually working? In part one of Data Skeptic's three-part Recommender Systems finale, Kyle traces the field from collaborative filtering and the Netflix Prize to matrix factorization and modern approaches, ...  Show more

Recommender systems influence nearly every aspect of our digital lives—but what does it mean for those systems to be fair? Robin Burke joins Data Skeptic to discuss the history of recommender systems, the limitations of optimizing purely for accuracy, and how ideas from social ch ...  Show more

Entrepreneur Tom Ilube talks about his work with scientists to deploy their research in the battle against cybercrime, tech advances and education in Africa and why companies need to take cyber security more seriously.<hr>

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The Hashing it Out team speaks with Ameen Soleimani, co-author of the Privacy Pools paper - Blockchain Privacy and Regulatory Compliance: Towards a Practical Equilibrium. Ameen, along with Vitalik Buterin (Ethereum Foundation), Jacob Illum (Chainalysis), Matthias Nadler (Universi ...  Show more

To share or not to share is a question that we should be asking ourselves every once in a while before posting on social media platforms especially after the most recent hacks that have gone viral on social media platforms. In this episode, Associate Professor of Electrical and C ...  Show more

Today we’re joined by Nicholas Carlini, a research scientist at Google Brain. Nicholas works at the intersection of machine learning and computer security, and his recent paper “Extracting Training Data from LLMs” has generated quite a buzz within the ML community. In our convers ...  Show more