Content-type: text/html
[] []
Applications of Analytics

Autogenerated Animation

Category: Generative Analytics

Deepfakes, and technologies like Deepfakes, represent “the emergence of generative technology capitalizing on machine learning promises (that) will enable the production of altered (or even wholly invented) images, videos, and audios that are more realistic and more difficult to debunk than they have been in the past.” (Chesney and Citron, 2018:1759). “New approaches promise greater sophistication, including Google DeepMind’s ‘Wavenet’ model, Baidu’s DeepVoice, and GAN models” (Ibid:1761).

Such technology can make educational content more interesting and engaging. For example, In 2015, an algorithm called DeepStereo developed for Google Maps was able to generate a video from a series of still photographs (Flynn, et.al., 2015). Also, “With deep fakes, it will be possible to manufacture videos of historical figures speaking directly to students, giving an otherwise unappealing lecture a new lease on life” (Chesney and Citron, 2018:1769).

Chesney and Citron write, “The educational value of deep fakes will extend beyond the classroom. In the spring of 2018, Buzzfeed provided an apt example when it circulated a video that appeared to feature Barack Obama warning of the dangers of deep-fake technology itself. One can imagine deep fakes deployed to support educational campaigns by public-interest organizations such as Mothers Against Drunk Driving (Chesney and Citron, 2018:1770).

Examples and Articles

Deepfakes Are Getting Better, But They're Still Easy to Spot
Wired. "Robert Chesney, a professor of law at the University of Texas, says political disruption doesn’t require cutting-edge technology; it can result from lower-quality stuff, intended to sow discord, but not necessarily to fool." Direct Link

Do you have another example of Autogenerated Animation? Suggest it here

Force:yes