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S5:E3 - GitHub CoPilot, Oculus’ Passthrough API, Security Concerns About QR Codes, and Why Covid-19 AI Predictive Models Fell Short

In this episode, we talk about Oculus' new experimental API, which blends virtual reality with your real surroundings, and we get into the sudden boom of QR codes, and the security issues it brings. Then we talk about some potential ethical and legal issues regarding Github Copilot with Andres Guadamuz, Senior Lecturer in Intellectual Property Law at the University of Sussex and the Editor in Chief of the Journal of World Intellectual Property. Then we speak with Laure Wynants, Assistant Professor at Maastricht University Department of Epidemiology about why hundreds of AI predictive models built aid in the covid-19 pandemic fell short.

Show Notes

Andres Guadamuz

Andres Guadamuz is Senior Lecturer in Intellectual Property Law at the University of Sussex and the Editor in Chief of the Journal of World Intellectual Property. His main research areas are on artificial intelligence and copyright, open licensing, cryptocurrencies, and smart contracts. Andres has published two books, the most recent is "Networks, Complexity and Internet Regulation", and he regularly blogs at Technollama.co.uk.

Laure Wynants

Laure Wynants is interested in methods to handle heterogeneity between populations when developing and validating diagnostic and prognostic models, and in the utility of models in clinical practice. Her applied work includes models for gynecological cancers, hospital-acquired infections, and covid-19. Since March 2020, she leads an international consortium to systematically review models for covid-19, for which she has been awarded the Edmond Hustinx science prize. This review already has over 1300 citations and has been picked up by policymakers, including the European Commission and the WHO.

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