The proposed changes are seeking to resolve a standoff between AI firms and creatives. Sir Paul McCartney has warned the technology "could just take over" without new laws. However, it will also allow writers, artists and composers to "reserve their rights", which involves declaring that they do not want their work to be used in an AI training process – or to demand a licence fee to do so. "We're absolutely clear that this is about giving greater control in a difficult and complex set of circumstances to creators and rights holders, and we intend it to lead to more licensing of content, which is potentially a new revenue stream for creators," he said. The British composer Ed Newton-Rex, a key figure in the campaign by creative professionals for a fair deal, told the Guardian in October that opt-out schemes were "totally unfair" for creators.

Generative AI, i.e., the group of technologies that automatically generate visual or written content based on text prompts, has undergone a leap in complexity and become widely available within just a few years. Such technologies potentially introduce a massive disruption to creative fields. This paper presents the results of a qualitative survey ($N$ = 23) investigating how creative professionals think about generative AI. The results show that the advancement of these AI models prompts important reflections on what defines creativity and how creatives imagine using AI to support their workflows. Based on these reflections, we discuss how we might design \textit{participatory AI} in the domain of creative expertise with the goal of empowering creative professionals in their present and future coexistence with AI.

BRAZIL - 2022/05/20: In this photo illustration, the Adobe Inc. logo seen displayed on a smartphone ... [ ] screen. All eyes are on the AI arms race, pitting Microsoft's Bing against Google's Bard in a clash of the Titans showdown competing to re-invent how we search for information and what Web browser we do it on. It's a competition fueled by Generative AI advancements poised to reinvent our relationship with technology. In my last column--I described this seismic shift as a move toward "Conversational Computing," citing that any online interaction that should be a conversation will become one. However, there's another aspect of the broader AI arms race that we need to be paying close attention to the race to augment the tech stack organizations use for productivity.

It's remarkable to watch a five-year-old draw, void of any anxiety about what the world will think. We all start our lives creatively confident, happy to create and share our work with pride. And then, as we age, our comfort with creative expression declines. We're discouraged by the learning curve of creative skills and tools, by our tendency to compare ourselves to others, and by the harsh opinions of critics. As Picasso famously quipped, "All children are born artists, the problem is to remain an artist as we grow up."

When the concept artist and illustrator RJ Palmer first witnessed the fine-tuned photorealism of compositions produced by the AI image generator Dall-E 2, his feeling was one of unease. The tool, released by the AI research company OpenAI, showed a marked improvement on 2021's Dall-E, and was quickly followed by rivals such as Stable Diffusion and Midjourney. Type in any surreal prompt, from Kermit the frog in the style of Edvard Munch, to Gollum from The Lord of the Rings feasting on a slice of watermelon, and these tools will return a startlingly accurate depiction moments later. Cosmopolitan trumpeted the world's first AI-generated magazine cover, and technology investors fell over themselves to wave in the new era of "generative AI". The image-generation capabilities have already spread to video, with the release of Google's Imagen Video and Meta's Make-A-Video.

When the concept artist and illustrator RJ Palmer first witnessed the fine-tuned photorealism of compositions produced by the AI image generator Dall-E 2, his feeling was one of unease. The tool, released by the AI research company OpenAI, showed a marked improvement on 2021's Dall-E, and was quickly followed by rivals such as Stable Diffusion and Midjourney. Type in any surreal prompt, from Kermit the frog in the style of Edvard Munch, to Gollum from The Lord of the Rings feasting on a slice of watermelon, and these tools will return a startlingly accurate depiction moments later. Cosmopolitan trumpeted the world's first AI-generated magazine cover, and technology investors fell over themselves to wave in the new era of "generative AI". The image-generation capabilities have already spread to video, with the release of Google's Imagen Video and Meta's Make-A-Video.

In late 2016, Adobe announced that Sensei, the company's AI technology, would begin to power and assist in some of its Digital Media applications, such as Photoshop and Illustrator. While that was only 3 short years ago, in the dawning of the AI era, Sensei's role makes Adobe one of the pioneers of machine learning- and deep learning-powered AI. What started in 2016 as narrow AI technology aimed at narrow use cases has become an AI engine that, according to Tatiana Mejia, group Product Marketing manager for Sensei, now powers dozens of different features across Adobe. "We don't tag any of the features with Sensei, it's just the engine behind Adobe products," said Mejia. Whether the technology is effective or not, the concept is advanced AI thinking.

The impact of artificial intelligence on creativity and design is top of mind for creative professionals. AI will undoubtedly accelerate the rapid pace of digital transformation and change the way we work, live, and play at a scale the world has never experienced before. Naturally, we should expect profound changes across many industries and employment categories. For all the disruption caused by technological change, we gain innovation and productivity, and we unleash entirely new industries and expanded employment opportunities for creative workers. Most designers I know would happily give up the mundane parts of their job.

About a year ago, Adobe announced its Sensei AI platform. Unlike other companies, Adobe says that it has no interest in building a general artificial intelligence platform -- instead, it wants to build a platform squarely focused on helping its customers be more creative. This week, at its Max conference, Adobe provided both more insight into what this means and showed off a number of prototypes for how it plans to integrate Sensei into its flagship tools. "We are not building a general purpose AI platform like some others in the industry are -- and it's great that they are building it," Adobe CTO Abhay Parasnis noted in a press conference after today's keynote. "We have a very deep understanding of how creative professionals work in imagining, in photography, in video, in design and illustration. So we have taken decades worth of learning of those very specific domains -- and that's where a large part of this comes in. When one of the very best artists in Photoshop spends hours in creation, what are the other things they do and maybe more importantly, what are the things they don't do? We are trying to harness that and marry that with the latest advances in deep learning so that the algorithms can actually become partners for that creative professional."