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Facebook is researching AI systems that see, hear, and …
Facebook is researching AI systems that see, hear, and remember everything you do – The Verge
14.10.2021 — Facebook’s AI team has launched a new research project, Ego4D, designed to use machine learning to analyze first-person video.
Facebook’s AI team has launched a new research project, Ego4D, designed to use machine learning to analyze first-person video. It imagines AI systems that record everything we see and hear to help us with everyday tasks.
Facebook is now using AI to sort content for quicker moderation
Facebook is now using AI to sort content for quicker moderation – The Verge
13.11.2020 — Now, Facebook says it wants to make sure the most important posts are seen first, and is using machine learning to help. In the future, an …
Facebook has always been clear it wants to use more AI to moderate its platforms. Now it says it’s using machine learning to prioritize posts that potentially break its rules before they’re reviewed by human moderators.
Facebook is going to explain more about how machine …
Facebook is going to explain more about how machine learning decides the ads you see – The Verge
vor 8 Tagen — Meta is updating Facebook’s “Why am I seeing this ad?” tool to better explain how it uses machine learning to decide which ads you see.
Meta is updating Facebook’s “Why am I seeing this ad?” tool to better explain how it uses machine learning to decide which ads you see.
Meta is expanding its use of AI face scanning to verify users …
Meta is expanding its use of AI face scanning to verify users’ age on Facebook Dating – The Verge
05.12.2022 — Meta has used AI face scanning tools to verify the age of Instagram users. Now, the company says it will test the tool on Facebook Dating …
Meta announced it would prompt some users to verify their age on Facebook Dating, with one option being an AI face scanning tool called Yoti. Meta already uses Yoti to verify the age of Instagram users.
Facebook trained AI to fool facial recognition … – The Verge
Go read this story on how Facebook’s focus on growth stopped its AI team from fighting misinformation – The Verge
11.03.2021 — Facebook has pursued growth at all costs, and sometimes that means turning a blind eye to the spread of misinformation. This story from MIT …
Facebook has pursued growth at all costs, and sometimes that means turning a blind eye to the spread of misinformation. This story from MIT Technology Review on how the company’s growth obsession has stymied the work of its AI team is a must-read.
Go read this story on how Facebook’s focus on growth …
Facebook is simulating users’ bad behavior using AI – The Verge
23.07.2020 — Facebook’s engineers have created a new way to model users’ worst behavior using AI. They’ve created a parallel version … By James Vincent.
Facebook’s engineers have created a new way to model users’ worst behavior using AI. They’ve created a parallel version of Facebook known as WW, on which they let bots loose to study how they conduct unwanted behavior like spreading spams, scamming other users, and selling guns and drugs.
Facebook is simulating users’ bad behavior using AI – The Verge
Facebook’s next big AI project is training its machines on users’ public videos – The Verge
12.03.2021 — Facebook has announced a new AI project called Learn From Video, … By James Vincent … Illustration by Alex Castro / The Verge.
Facebook has announced a new AI project called Learn From Video, which will use public Facebook videos to train its machine learning models. The company is vague about future applications, but it says such models could be used to improve captions, search functions, and much more.
Facebook’s next big AI project is training its machines on …
Facebook hopes AI can help it better understand the content of your posts – The Verge
20.09.2013 — Facebook is using an artificial intelligence method called deep learning to analyze data collected from its 1 billion … James VincentFeb 3 …
The Verge is about technology and how it makes us feel. Founded in 2011, we offer our audience everything from breaking news to reviews to award-winning features and investigations, on our site, in video, and in podcasts.
Facebook hopes AI can help it better understand … – The Verge
AI for Behavioural Science – Stuart Mills – Google Books
This book is a concise introduction to emerging concepts and ideas found at the intersection of contemporary behavioural science and artificial intelligence. The book explores how these disciplines interact, change, and adapt to one another and what the implications of such an interaction are for practice and society. AI for Behavioural Science book begins by exploring the field of machine behaviour, which advocates using behavioural science to investigate artificial intelligence. This perspective is built upon to develop a framework of terminology that treats humans and machines as comparable entities possessing their own motive power. From here, the notion of artificial intelligence systems becoming choice architects is explored through a series of reconceptualisations. The architecting of choices is reconceptualised as a process of selection from a set of choice architectural designs, while human behaviour is reconceptualised in terms of probabilistic outcomes. The material difference between the so-called “manual nudging” and “automatic nudging” (or hypernudging) is then explored. The book concludes with a discussion of who is responsible for autonomous choice architects.
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