Practical, positive uses for deep fakes
Differentiating between what is real versus what is fake on the internet can be challenging. Historically, AI deepfakes have only added to the confusion and chaos, but when labeled and intended for good, deepfakes can be extremely helpful. But with all of the misinformation surrounding deepfakes, it can be hard to see the benefits they bring. Lior Hakim, CTO at Hour One, joins Chris and Daniel to shed some light on the practical uses of deepfakes. He addresses the AI technology behind deepfakes, how to make positive use of deep fakes such as breaking down communications barriers, and shares how Hour One specializes in the development of virtual humans for use in professional video communications.
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The answer Mr Hakim gave at the end to essentially the question “how do we tell real from fake” was interesting, as the models we’re training with our data are showing us our biases (mirror effect), but really didn’t answer the original question at all. As this technology becomes more accessible to the casual user, what kinds of safeguards are we putting in these models to help people distinguish real versus fantasy? The possibility for misuse has proven to be far too prevalent to let a question like that go unanswered.