Creators who sell assets on itch.io will now have to be a lot more upfront about using generative AI. The marketplace for independent digital creators has introduced a new rule that requires users to label their projects if they were produced using generative AI tools, such as ChatGPT and Midjourney. Users will see an AI generation disclosure box when they upload their projects. If they confirm that their project contains AI-generated output, they'll be required to indicate what kinds of content were made with generative AI, whether they're graphics, sounds, text and dialogue or code. If they have a public asset page, they'll see a dialog box when they access their dashboard, making it easy to bulk tag their projects.

As AI advances in text generation, human trust in AI generated content remains constrained by biases that go beyond concerns of accuracy. This study explores how bias shapes the perception of AI versus human generated content. Through three experiments involving text rephrasing, news article summarization, and persuasive writing, we investigated how human raters respond to labeled and unlabeled content. While the raters could not differentiate the two types of texts in the blind test, they overwhelmingly favored content labeled as "Human Generated," over those labeled "AI Generated," by a preference score of over 30%. We observed the same pattern even when the labels were deliberately swapped. This human bias against AI has broader societal and cognitive implications, as it undervalues AI performance. This study highlights the limitations of human judgment in interacting with AI and offers a foundation for improving human-AI collaboration, especially in creative fields.

In addition, as these tools learn from users and more advanced musicians, it will start to identify patterns that produce successful music and potential hits in the music market. At that point, these systems might create entire albums and musical productions without human assistance of any sort. Popular music has already explored manufactured music, from K-Pop to Boy Bands and has figured out many of the elements of what makes popular music tick. With the addition of AI will humans even be needed at all for music creation? Furthermore, as more people use AI tools to augment their natural ability, you need to ask if these systems are exhibiting real creativity or simply mimicking the creative ability of humans?

In 2018, FireEye – a company based in California – informed Facebook and Google about a large group of fake Iranian social media accounts that was running movements to control the U.S people. As a result, Facebook and Google identified them, along with fake YouTube channels and blogs, using back-end data and then removed them. "Right now, you know something's automated just by the sheer volume of content pushing out," Lee Foster, information operations manager at FireEye, says. "It's not possible for a human to do this, so it's clearly not organically created. Often you'll see automated retweeting of some list of accounts that just to boost out a message. But the situation is about to take a new turn, he claims, as Artificial Intelligence (AI) system that covers its automated heritage is available now. "Imagine having a capability out there that can automate the organic creation of original content effectively enough that it looks real, but you don't even have to have it operate or touch it," Foster says. "In the very near term, the evolution of AI and machine learning, combined with the increasing availability of big data, will begin to transform human communication and interaction in the digital space.