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​​Creative AI: 2022 was just the beginning​

In 2022, generative AI has become increasingly prevalent in a wide range of applications. These include generating realistic images, music, and text, as well as creating new designs and ideas. 

One of the most significant developments in generative AI in 2022 is the increased use of GPT-3, a powerful language model developed by OpenAI. GPT-3 has the ability to generate human-like text, which has led to its use in a variety of applications, including chatbots, language translation, and content creation. 

Another area where generative AI has made significant progress is in the generation of images and videos. AI models such as StyleGAN and DALL-E have been used to generate highly realistic images and videos, which have been used in fields such as fashion, advertising, and entertainment. 

However, it’s important to note that while generative AI has made impressive strides, it is not yet capable of fully replacing human creativity and intuition. These models still require human input and oversight to function effectively, and they are limited by the data and biases that they are trained on. 

Overall, generative AI has the potential to revolutionize a wide range of industries and tasks, but it is important to use it responsibly and ethically. As the field continues to evolve, it will be interesting to see the impact that generative AI has on society and the ways in which it is used in the future. 

Creative AI and intellectual property 

As generative AI becomes more advanced and widely used, it has the potential to significantly impact copyright law and the creative industries. One of the main concerns is the potential for AI-generated content to be indistinguishable from human-created content, which could raise issues around authorship and ownership. 

For example, if an AI model generates a piece of music or artwork that is similar to an existing piece, it may be difficult to determine who has the legal rights to the new work. Similarly, if an AI model generates a piece of content that is based on multiple sources, it may be difficult to determine which parties have the rights to the resulting work. 

To address these issues, some have suggested that AI-generated content should be treated as a separate category of intellectual property, with different rules governing its ownership and use. Others have argued that existing copyright laws can be adapted to cover AI-generated content, with the AI creators or the owners of the data used to train the model being granted the rights to the resulting works. 

Regardless of how these issues are eventually addressed, it is clear that generative AI has the potential to disrupt the traditional models of authorship and ownership in the creative industries. As such, it will be important for lawmakers and industry professionals to carefully consider the legal and ethical implications of this technology. 


Except for the (sub)titles and this afterword, this article was written by ChatGPT, an AI-based chatbot, in response to the following prompts: “write a short essay about generative AI in 2022” and “add a few paragraphs to your essay concerning the impact of generative AI on copyright law and creative industries”. The illustration was created by Craiyon, a free online AI image generator, in response to the prompt “conflict of generative AI and the copyright law”. 

Given the rate at which the AI evolves, we should expect to see significant amounts of legal texts — reports, memos, contracts, and perhaps judgements and legislative proposals — written by AIs in very near future. 

At least until that time, however, TRINITI’s team of flesh-and-blood lawyers is glad to remain at your service.