One of the most difficult challenges of device learning is to teach the artificial intelligence system to fully understand what is happening in the video like a human, and this is also a potential breakthrough point. Today, Facebook announced a new initiative to use public videos of Facebook users to train artificial intelligence in order to give the company an advantage in this field.
Obtaining training data is one of the biggest competitive advantages in the field of artificial intelligence. By collecting this resource of millions or tens of millions of users, technology giants such as Facebook, Google, and Amazon have been able to achieve leading advantages in various fields. Previously, Facebook had collected hundreds of millions of images from Instagram to train device learning models, but the company had not announced similar ambitious video understanding projects before.
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The company wrote in its official blog: “By learning global public video streams spanning hundreds of languages across multiple countries, our artificial intelligence system will not only improve accuracy but will also adapt to our fast-moving world and recognize The nuances and visual cues of different cultures and regions”. This project is called “Learning from Videos” and is part of Facebook’s “wide effort to build machines that learn like humans.”
Facebook said that the resulting machine learning model will be used to create new content recommendation systems and moderation tools, but more can be done in the future. Artificial intelligence that can understand video content can give Facebook unprecedented insight into users’ lives, allowing them to analyze their hobbies and interests, their preferences for brands and clothes, and countless other personal details. Of course, Facebook can already obtain such information through its current advertising targeting business, but if it can parse video through artificial intelligence, it will add an incredibly rich (and intrusive) source of data to its store.
Facebook is vague about future plans for AI models to train user videos. The company told The Verge that such a model can be used for many purposes, from video subtitles to creating advanced search functions, but it did not answer the question of whether it will be used to collect ad targeting information.
Similarly, when asked whether users must agree that their videos are used to train Facebook’s artificial intelligence, or whether they can opt-out, the company only responded that its data policy stated that user-uploaded content can be used for “product development.”. Facebook also did not respond to questions about how many videos will be collected to train its AI system and how to monitor the company’s researchers’ access to these data.
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