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'It's a bit like thinking about guns, or chlorine. 'When it comes to deepfakes specifically, the issue that's most relevant is an ethical one: dual use,' Vagrant Gautam, a computational linguist at Saarland University in Germany, told TechCrunch via email. Forrester Research estimated in October 2019 that deepfake fraud scams would cost $250 million by the end of 2020. More nefariously, they've been leveraged in political propaganda, for example to create videos of Ukrainian President Volodymyr Zelenskyy giving a speech about the war in Ukraine that he never actually gave.įrom 2019 to 2021, the number of deepfakes online grew from roughly 14,000 to 145,000, according to one source. But they're increasingly being used by hackers to target social media users in extortion and fraud schemes.

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Unlike the crude Photoshop jobs of yesteryear, AI-generated deepfakes can match a person's body movements, microexpressions and skin tones better than Hollywood-produced CGI in some cases.ĭeepfakes can be harmless - even entertaining - as countless viral videos have shown.

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The previous restrictions on things like running denial-of-service attacks, password cracking and downloading torrents were left unchanged.ĭeepfakes come in many forms, but one of the most common are videos where a person's face has been convincingly pasted on top of another face. In general, we have automated systems that detect and prohibit many types of abuse.'Ī data shows that Google quietly updated the Colab terms sometime in mid-May. 'Deterring abuse is an ever-evolving game, and we cannot disclose specific methods as counterparties can take advantage of the knowledge to evade detection systems. Deepfakes were added to our list of activities disallowed from Colab runtimes last month in response to our regular reviews of abusive patterns,' a Google spokesperson told TechCrunch via email. 'We regularly monitor avenues for abuse in Colab that run counter to Google's AI principles, while balancing supporting our mission to give our users access to valuable resources such as TPUs and GPUs.

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This suggests enforcement is blacklist - rather than keyword -based, and that the onus will be on the Colab community to report code that runs afoul of the new rule. This reporter was able to run one of the more popular deepfake Colab projects without issue, and Reddit users report that another leading project, FaceSwap, remains fully functional. Please note the prohibited actions specified in our FAQ.' The warning read: 'You may be executing code that is disallowed, and this may restrict your ability to use Colab in the future.

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Users of the open source deepfake generator DeepFaceLab became aware of the terms of use change last week, when several received an error message after attempting to run DeepFaceLab in Colab. But Google hasn't historically been very restrictive when it comes to Colab content, potentially opening the door for actors who wish to use the service for less scrupulous purposes. It's not uncommon for researchers who've written code to include links to Colab pages on or alongside the GitHub repositories hosting the code. In recent years, Colab has become the de facto platform for demos within the AI research community. For the purpose, Google provides both free and paying Colab users access to hardware including GPUs and Google's custom-designed, AI-accelerating tensor processing units (TPUs). It's designed to allow anyone to write and execute arbitrary Python code through a web browser, particularly code for machine learning, education and data analysis. The updated terms of use, spotted over the weekend by Unite.ai and BleepingComputer, includes deepfakes-related work in the list of disallowed projects.Ĭolaboratory, or Colab for short, spun out from an internal Google Research project in late 2017. Google has banned the training of AI systems that can be used to generate deepfakes on its Google Colaboratory platform.

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