As creators embrace artificial intelligence to juice creativity, TikTok is launching a tool that helps them label their AI-generated content while also beginning to test “ways to label AI-generated content automatically.” “AI enables incredible creative opportunities, but can potentially confuse or mislead viewers,” TikTok said in announcing labels that can apply to “any content that has been completely generated or significantly edited by AI,” including video, photographs, music and more. The platform also touted a policy that “requires people to label AI-generated content that contains realistic images, audio or video, in order to help viewers contextualize.” Continue reading TikTok Creates New Tools for Labeling Content Created by AI

A coalition of Big Tech companies and academics have banded together to fight deepfakes. Facebook, Amazon Web Services (AWS), Microsoft, the Partnership on AI, and academics at Cornell Tech, MIT, University of Oxford, UC Berkeley, University of Maryland College Park and the State University of New York at Albany just launched the Deepfake Detection Challenge announced in September. The problem is serious; deepfakes have swindled companies and could sway public opinion during upcoming elections. Continue reading Big Tech, Academics Launch Deepfake Detection Challenge

Ahead of next year’s U.S. Presidential election, social platform Twitter is planning to introduce a new policy that intends to help curb manipulated media including altered videos known as “deepfakes.” Twitter plans to create its first ever such policy regarding deepfakes and will seek feedback from the public in doing so. Meanwhile, Amazon Web Services has joined Facebook, Microsoft and others in the Deepfake Detection Challenge (DFDC) and will serve as a tech partner and committee member helping to oversee the challenge. Continue reading Major Tech Firms Are Taking Action to Combat Deepfakes

In May, research project Google Brain debuted its AutoML artificial intelligence system that can generate its own AIs. Now, Google has unveiled an AutoML project to automate the design of machine learning models using so-called reinforcement learning. In this system, AutoML is a controller neural network that develops a “child” AI network for a specific task. The near-term goal is that AutoML would be able to create a child that outperforms human versions. Down the line, AutoML could improve vision for autonomous vehicles and AI robots. Continue reading Google Intends to Advance Machine Learning With its AutoML

The new Microsoft Research AI lab is now open for business, targeting the creation of a single system of general artificial intelligence that can flexibly work on a range of problems. Based at company headquarters in Washington state, the lab will be home to more than 100 scientists whose AI research spans fields including perception, learning, reasoning and natural language processing. The lab’s goal of general AI differs from narrow AI, which performs one task very well, such as facial recognition. Continue reading Microsoft Takes a Bigger Stake in AI With New Lab, Projects

Amazon, Facebook, Google, IBM and Microsoft established the Partnership on AI to create ground rules for protecting people and their jobs in the face of rapidly expanding artificial intelligence. The organization is also intended to address the public’s concern about increasingly capable machines, and corporations’ worries about potential government regulation. One of the organization’s first efforts was to agree upon and then issue basic ethical standards for development and research in artificial intelligence. Continue reading Tech Behemoths Establish Partnership on Artificial Intelligence