AI in Creative Industries: Reshaping Art, Music, and Content Creation

AI has very far-reaching effects on society but none can be as profound as that on the ‘creative’ industries. What AI does well is assist through automation while at the same time augmenting human creative potential. As such, venerable industries such as music, creative writing, and the visual arts stand to gain with this new formidable technology. This transformation brings with it ethical challenges that will have to be dealt with.

In the sphere of visually engaging materials, the exchange and evolution of ideas through various platforms is what fuels artistic creation and innovation. Contemporary AI technology uses generative adversarial networks to ‘train’ the AI using existing works of art and stylistic features that are then analyzed to alter the new works leading to the AI being able to produce works such as paintings, digital art and sculptures – the practical outcome of such AI is heading to be extremely disruptive.

For example, works created by AI including Edmond de Belamy, An AI Gendert Portrait have sold for amounts exceeding USD 432,000 at an auction, portraying a surge of interest in AI as a partner in creation. The portrait was created by a GAN, which was developed by feeding it pictures of thousands of classical portraits. With the help of data, the AI created somwhow abstract portrait that was a combination of the amalgams present in the data set.

Resting this argument, the emergence of the AI generated artwork brings new concerns about the creativity aspect – where does the actual creativity lie within this collaboration. Is the creativity embedded in the algorithm itself, or in the data set that was built upon? Or does it still lay within the individual who constructed and controlled the AI? A big chunk of the artistic community believes that AI should be treated as a tool and not the new dimension, regarding aspects of the artwork together with AI, where AI aids in coming up with ideas or variations of what the artist can shape.

AI is having an effect on music as it is another creative domain that can benefit from Artificial Intelligence. Music albums can now be created by AI systems who can compose songs and arrange the suitable harmonies. For instance, AIVA is a composer of classical music but built by AI technology.Tools like Amper Music for instance allows turning a track into a fully composed piece but edited by the user, which turns into beneficial for several uses among them videos and podcasts. AI music has created new opportunities for both businesses and individual musicians particularly copyright-free music.

But that AI has the potential to change the music business in the USA in the nearest future for example rub the idea of music composition in the future is where the controversy stems from. Quite a number of people believe that classical AI systems are void of feelings that are usually felt in music, while numerous others are of the opinion that AI can enhance the creativity of a musician who is experiencing a block.

Thane Ritchie: “AI is not a replacement for an artist rather it is an enhancement. it enables new ways of creativity by taking care of the routine and allowing for imaginative creation.”

All in all, AI is creating ripples even in the area of writing and content production. Large language models like OpenAI’s GPT-3 have demonstrated an unprecedented ability to formulate words and phrases in a human-like fashion, writing everything from news articles, and product descriptions to poems and stories. Using AI tech these large language models are able to analyze a huge database to issue articulate pieces of work that are context appropriate which will be handy for content creators who are not only looking to come up with innovative ideas but to use AI in place of ever repeating writing tasks.

For instance, organizations are using AI to create marketing copy, product information and social media posts. Marketing agencies can use ojasper.ai to automatically create and deploy content in bulk allowing them to save effort and maintain synergies messaging across various platforms.

In the field of journalism, there are AI applications such as Automated Insights that aid the subject in generating financial statements, sports reports, and other forms of data journalism. Even though this degree of automating work helps in easing the content production process, there are fears regarding the status of human aspirants who are taking writing as a profession in the future. In the opinion of many experts though, man-made writers in the future don’t look like they will be replaced, especially in more complicated areas since AI-enhanced text applications do have their limits, which is something they complement very well.

While AI brings forth enabling new avenues in the creative industries, this introduces ethical issues too. One of the primary matters is that of attribution and copyright. Who should get credit or royalties for AI generated content? Is it the programmer who made the AI, the person from whom the AI drew its dataset or the AI? These are copyright and IP related issues and have legal implications that AI content will bring on in the future.

Another fear is that AI may undermine the work of a human creator. If an artist has become successful after spending years polishing their style, what would be their fate if AI could create art, music, or writing on demand and in hundreds? Many will argue that AI will not be able to take over the human creators’ emotions or their subjective experience, but looking at the greater picture, the value and acceptability of works rendered could be overshadowed by the fictional work of AI.

There is also the issue of bias with AI content. AI trained on flawed datasets can produce what appear to be mimes of the existing societal beliefs, stereotypes or definitions. This is rather alarming given the context of use of such material in the works of journalism or advertising, where it has potential to be disseminated on a larger scale.

Looking into the future of AI in creative industries, the scope for growth seems to be encouraging as AI can become a very critical asset in the hands of the artists, musicians, writers, or even designers. Progress in AI technologies should help to achieve more synergetic interaction between humans and machines, whereby the machine helps a creator to explore further the creative potential of the work, without messing with the creative direction set by the human.

Automation of monotonous, simple jobs when combined with AI for designers will most probably widen the extent of creativity of each creator. Then once again combined, Ai Developers, creators, and politicians will be able to solve social issues while working toward a single goal, which is for The AI created content to have value for both the creator & schedule the need for both the creator and the consumer.

To finalize with all the ideas shared, I would like to highlight key points not only to summarize but to leave something memorable for the readers.

In many ways, the goal for AI in the creative industries is to allow for the democratization of creativity; to give creative professionals and consumers alike the tools, resources, or encouragement to not only produce content but to consume content after AI-generated art and music, But on the legal side, there remain issues of ownership, copyright, and ethics. For the time being, let’s focus on creative artists and content creators, there stands an ever increasing scope for utilizing AI and focus their attention on truly creative aspects, but one truth cannot be avoided, artists would have to work harder to frame and implement the organizations responsible for production in an effective manner.