In the modern-day world, there’s a lot that can be done thanks to technological innovations. The advent of Artificial Intelligence for one, has had a transformational effect on the creative sphere. Just like gambling platforms have revolutionized the iGaming industry by leveraging AI to curate personalized gaming experiences for bettors, AI-driven art is slowly but surely transforming the creative space.
The permeation of algorithmic technology into the art sphere represents a fairly radical shift in the very foundational ethos that has traditionally defined art across many centuries. Yet, as with any new construct, the merger between the two worlds isn’t without contention, especially from a moral perspective.
When creating art via computational creativity, does this mean that machines are truly capable of creation? Or are these machines simply replicating human ingenuity? Take a few minutes to figure out our thoughts on this.
The Role of AI In Various Spheres of Art
This computational creativity model has been leveraged in various industries like healthcare, the online casino sector represented by platforms like the mrbet casino, and manufacturing before to bring forth great results. That said, the artistry domain represents a completely different ball game altogether. To put things into perspective, the artistry landscape encompasses a lot. It isn’t merely a preserve of drawings but can extend to other things like music, online slots & casino games development, architecture, engineering, and so many other sectors. These intelligent algorithms have been utilized in the following ways:
- Generative adversarial networks (GANs): One of the most vital pieces in this cognitive computing era in art has been the use of GANs to come up with quality pieces. GANs feature two parts: the generator and the discriminator. The generator’s work is to formulate images, while the discriminator is tasked with checking to see if those images look real or not. The two work hand in hand over time helping to produce creative pieces for artists;
- Artificial intelligence in music composition: OpenAI, which is arguably the biggest stakeholder in the Intelligent algorithms sector, came up with “MuseNet” which is a deep learning model that is used to generate music compositions. Google’s “Magenta” is also another that features the same level of capabilities. With music being a multi-billion dollar industry, we’ve seen many AI-generated songs do the rounds in social media platforms, particularly TikTok, over the past 2 years or so;
- Art analysis and restoration: Automated Intelligence has also been leveraged to help restore art that has undergone damage or has been lost over the years. For instance, the missing frescoes from the Parthenon have undergone reconstruction thanks to the restoration powers of this technology. Some world-renowned museums like the MET have also leveraged this technology to help organize and categorize their art collections, making them easier to access and use.
Intellectual Property Rights
Intellectual Property (IP) rules, as they exist, aim to foster the creative space, specifically in the art space, by encouraging new creations, as well as building innovative creations based on already existing pieces. To be frank, the premise of the innovative pieces is that the existing creations are molded into new pieces and aren’t necessarily remixed. This is where IP protections come in, giving creators exclusive rights to their work.
With traditional patents as currently set up, there exists a conundrum when dealing with AI-generated art pieces. The main types of IP for these creations are patents and copyrights, which typically require human involvement. The current laws offer options for Artificial Intelligence creations to enter the public domain, or to assign partial rights to a human, or full ownership rights for that matter. There have been suggestions that the ownership should also be shared with the creator of the algorithmic technology, especially if that piece ends up having a substantial monetary value.
Authenticity and Value of Artwork
As a cognitive computing system, the machine learning capabilities of this technology mean that it can produce a lot of compositions over a short period. Those in the creative space have expressed concern that the overload of these pieces in the market could mean that the overall value of artwork is gradually devalued. Oftentimes, the more unique a composition is, the higher it is valued.
Economic Impact
Within the creative space, there are concerns that Automated Intelligence could lead to the overall marginalization of human artists. In industries where churning out quantity is sometimes seen to take precedence over quality, this risk is very real due to the fast nature of AI.
So, How’s the Future Looking?
At the end of the day, it all comes down to the users of the technology. Artificial Intelligence is here to stay, especially in the creative space, for the foreseeable future. With its expanding responsibilities, particularly in the creative space, it is down to the technologists, policymakers, artists, and the creative landscape as a whole to ensure that it doesn’t cross bad ethical lines that could ruin all the positive attributes it possesses.
