What exactly is Facebook doing with AI?

If Facebook has high-end, self-learning computers and they're tracking all your activities on the site, you might wonder a bit, you might not want to get too deep into the specialized lab. Facebook's AI research application. Photo tagging, friend suggestions, fake news filters, timeline arrangements and many other Facebook features depend on some versions of AI. It means that no human can handle up to 2.19 billion monthly users. The scale and rate that Facebook is building AI for its products is well worth exploring.

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Image recognition

Face recognition and auto-tagging are just a small part of Facebook's machine learning ability. Facebook is actually using the 3.5-billion dataset with Instagram tags to help Facebook's software determine the content in the photo, whether it's beach (#beachlife!) Or a cat (#lolcats).

Not only can Facebook tag and categorize your photos, it can also provide keywords to help describe images for the visually impaired and check for inappropriate content. Facebook even builds a tool to help find the posture of a human being, which can become an effective method of judging the mood and behavior of users. This may sound a bit scary, but we're getting used to it.

Proposals and classification

Facebook proposes new friends to users, sure, but the proposals don't stop there. It also recommends timeline posts, news, events, groups, pages, products and more. Most of the content you see on your site is because the machine learning algorithm has decided that you want to see those content and prioritize them for you.

Moderate content

Although these systems still have a lot of work to do, recent events have spurred Facebook to further promote the development of powerful content filtering systems that can identify fake news and hate. speech (speech is negative). Facebook will track links or documents that may spread false information and delete that information. Clearly, these algorithms have succeeded in finding and deleting more than 99% of terrorist propaganda content.

Language

Modern AI is doing quite well finding out what people are saying. The next step is to understand how people say it. Facebook has just bought Wit.ai, a natural language processing company from London. Facebook is looking to improve the ability to distinguish context and meaning more accurately, to combat things like fake news and hate speech. Facebook is also working to improve the ability to interact with users in different languages ​​and improve translation quality.

Among other applications, Facebook is actually using AI to determine when people post suicidal thoughts on Facebook, contact their friends and those who respond first, when needed. According to Facebook's report, this has begun to work, and it shows how powerful the AI ​​is, in an environment where it has access to human psychological data.

Gaming

Game is a great way to test AI. Drop them into an artificial situation, see how they work compared to other computers or people and see how they can really learn. Facebook has ELF OpenGo, similar to Google's Alpha Go Zero, as well as an extended ELF project, providing the foundation for AI game research. Facebook even developed an AI platform to help conduct research on AI playing StarCraft.

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Research and development

Facebook's main AI site does not show you a series of flashy marketing materials about the future. However, there are many pretty serious things happening, as you can deduce from the number of projects and groups. Facebook has developed tools such as PyTorch and (with Microsoft) ONNX, which are open source contributions to general AI research. Facebook is also involved in most other major AI-related companies in Partnership on AI, with the goal of using AI to benefit society and develop it responsibly.

So what will Facebook do with all this power?

Your Facebook experience has definitely improved by AI, and chances are it will improve other parts of your life, as many of Facebook's research acts as open source and can be used. used by other researchers and developers. But Facebook doesn't tend to push this process too fast, because AI can go wrong.

If you feel like you're in a sci-fi movie, where robots test your behavior, monitor your psychology and censor your interaction, you're not wrong. Targeted ads used predictions about you to sell you everything, but what if Facebook started using machine learning to learn how to control your mood before displaying promo? fox? Perhaps it will be a series of articles, color arrangements or subtle actions that stimulate hunger just before proposing pizza delivery? Or wait until you sympathize to promote a charity job? It may be a real and urgent concern than you think.

So will Facebook become Skynet?

There was a company called Skynet, so Facebook would have to buy them first. Then maybe Facebook will take over humanity, but not with killer robots, but only with gentle pushes. Most likely, we will embrace Facebook's amazing things from AI, as well as some things that make us even crazier than the Cambridge Analytica. Even AI cannot predict the future (or at least not yet), so we can only wait.

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