Deepfakes have made their way onto the radar of much of the First World.
As with many technology phenomena, deepfakes have their origins in pornography editing (the Reddit page that originally popularized deepfakes was banned in early 2018).
In April of this year, I was asked by UNICRI (the crime and justice wing of the UN) to present the risks and opportunities of deepfakes and programmatically generated content at United Nations headquarters for a convening titled: Artificial Intelligence and Robotics: Reshaping the Future of Crime, Terrorism, and Security.
Instead of speaking about the topic, we decided it would be better to showcase the technology to the UN, IGO, and law enforcement leaders attending the event. So we took a video of UNICRI Director Ms. Bettina Tucci Bartsiotas, and created a deepfake, altering her words and statements by using a model of her face on another person.
This project involved a tight time schedule, very little budget for the project, and only one minute of data. Programmatically generating video and voice with open-source technology isn’t easy with these limitations, but the video came out reasonably well all things considered. After the initial demo is a breakdown of the broader concerns of programmatically generated content, which will be the focus for the bulk of this essay: