Deepfake Detection – Jan 20

Computer vision systems now surpass the performance of human experts in fields like radiology and dermatology. Can they also help us discern real videos from deepfakes — videos manipulated by artificial intelligence? This Zoom presentation will provide an overview of the state-of-the-art machine-learning models for detecting deepfakes. It will also present evidence that reveals how most people are more accurate at spotting deepfakes than the best machine-learning models. We will examine results of a recent experiment suggesting that humanity's specialized ability for recognizing faces lies at the heart of our superior performance. (No face shown above belongs to a real person!)

Our speaker, MIT's Matthew Groh, is a PhD student and research assistant at the MIT Media Lab where he is a member of the Affective Computing Group. Before MIT, Matt cofounded Proprio Labs, worked as a data scientist at Qadium, RaiseMe, and DARPA, and was a research assistant at Innovations for Poverty Action and the World Bank.


Matthew Groh

WHAT: Cognitive Science of Deepfake Detection
WHO: Matthew Groh, Research Assistant, MIT Media Lab
WHERE: Online via Zoom [https://us02web.zoom.us/j/86878133505]
WHEN: 2021-01-20 — 7:30pm PST, Wed, Jan 20 (1 hour)
Add to Calendar YYYY-MM-DD 2021-01-20 19:30 2021-01-20 21:30 Wonderfest, Cognitive Science of Deepfake Detection Speaker: Matthew Groh, Research Assistant, MIT Media Lab
Description:

Computer vision systems now surpass the performance of human experts in fields like radiology and dermatology. Can they also help us discern real videos from deepfakes — videos manipulated by artificial intelligence? This Zoom presentation will provide an overview of the state-of-the-art machine-learning models for detecting deepfakes. It will also present evidence that reveals how most people are more accurate at spotting deepfakes than the best machine-learning models. We will examine results of a recent experiment suggesting that humanity's specialized ability for recognizing faces lies at the heart of our superior performance. (No face shown above belongs to a real person!)

Our speaker, MIT's Matthew Groh, is a PhD student and research assistant at the MIT Media Lab where he is a member of the Affective Computing Group. Before MIT, Matt cofounded Proprio Labs, worked as a data scientist at Qadium, RaiseMe, and DARPA, and was a research assistant at Innovations for Poverty Action and the World Bank.

Location: Online via Zoom,
HOW:

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