http://needgap.com Find your customers by the problem you are solving for them. Thu, 20 Jul 2023 00:27:00 +0000 Deep Fake <a href="https://www.youtube.com/watch?v=cQ54GDm1eL0">video</a>&nbsp;is where the facial expression, <a href="https://www.bbc.com/news/technology-37899902">speech</a>&nbsp;of the person shown in the video aren't real and is computer generated using Machine Learning. This has profound consequences on how we validate the content, accelerating the fake news problem and even affecting the legal system in the countries which accept videos as evidence.<div><br></div><div>Imagine a video showing leader of a country discussing pre-emptive strike on another country, only that content of the video is not real but an ultra realistic deep fake video, but in the age of <a href="https://en.wikipedia.org/wiki/Confirmation_bias">confirmation bias</a>; we cannot expect people to validate everything they see or hear (if that was possible, fake news problem wouldn't exist in first place).</div><div><br></div><div>There are <a href="https://needgap.com/problems/20">ethical use cases for deep fake video</a>&nbsp;but there would be no stopping to exploitation of the deep fake tech for nefarious means. Hence there is a need gap for building tools which can be integrated in the systems for validating information.</div> 5 points posted by Abishek Muthian /problems/21-deep-fake-video-detection-fakenews-machinelearning 21 Mon, 02 Sep 2019 14:17:00 +0000