In the last few years, especially with the boom of Generative Artificial Intelligence (GenAI), AI has advanced significantly in various disciplines, including art, music, literature, and science. Tools such as ChatGPT, Claude and Gemini have demonstrated the ability to reason on complex topics, generate images, compose music, and even help with programming. This rapid growth has sparked a global debate: Does AI enhance or diminish human creativity? While the creations of AI can appear human-like or even creative based on novelty and uniqueness, they lack the essence of what makes human creativity special: emotion, inspiration, feeling, and personal touch.
There is no denying that AI is proficient in creative jobs. Platforms such as AIVA and Suno in the music industry have been enabling users to generate musical compositions in various genres, from classical to pop. These AI systems function by analysing and learning the qualities of a vast amount of existing music from its dataset, and then producing new musical pieces, which, under the hood, follow similar patterns as its training data. Similarly, tools like DALL-E can create intricate images through textual prompts provided by the user, showcasing AI's ability to blend multiple styles and concepts in the visual arts. Programming is also a creative domain in which tools like GitHub Copilot can write code alongside a human programmer acting as a pair-programming partner, or take the pilot seat itself, writing and debugging code based on textual prompts by a human.
Programming data
However, the prowess of AI is limited by its programming and training data, even though it can create aesthetically pleasing results. Similarly, it is unable to give its creations a personal touch, such as the incorporation of cultural background, personal experiences, or emotional nuances. As a result, AI-generated art might be perceived as not having the same relevance and authenticity as human-created art.
Despite showing promising potential, AI is still far from fully mimicking human creativity due to its inherent limitations. A key example is its inability to experience emotions. Humans exhibit creativity often from personal experiences, innate emotions, and the human condition, which are some elements that is still impossible for AI to understand or replicate. Unlike humans, whatever creative decisions AI takes, it does so purely mathematically, based on statistical patterns and probabilities learnt from the training data fed into it. Milan Ehrhardt, an AI researcher, notes in one of his writings: "While AI can make results that look or sound impressive, does it really understand the human emotions behind them?"
Furthermore, AI lacks intentionality. The creations of AI are devoid of purpose, underlying messages, or themes, unlike the creations of Humans. AI produces content based on specific machine learning algorithms and patterns learnt from data without any underlying purpose or intention. Although technically sound, these works may lack depth and significance due to this lack of intentionality.
Moreover, AI's dependence on pre-existing data can lead to a lack of originality. If multiple users generate content from the same body of data and use the same model, the results obtained by each of them can share similarities. As highlighted by researchers, "AI-generated content often lacks the depth and authenticity found in human-created art." This over-reliance on existing data can be detrimental to innovation and may lead to homogenized outputs. Similarly, the output produced by AI is inherently dependent upon the quality and quantity of training data used. AI can produce outright irrelevant results, let alone creative ones, if the data it trains upon is poor, incomplete, or biased.
Viewing AI as a substitute or rival of human creativity overlooks the real purpose of AI and increases animosity and apprehension towards its use. Instead, it should be treated as a tool or framework that complements and promotes human creativity. AI can help with brainstorming, offering fresh perspectives, and automating small and repetitive tasks; all these capabilities assist human creators to free up their time to concentrate on the bigger picture or innovative endeavors.
When it comes to writing and literature, for example, AI can recommend sentence structures, check grammar, and suggest alternate wordings, which can help human writers share their thoughts and knowledge better. In the domain of visual arts, AI can offer design suggestions or assist artists in experimenting with different compositions and styles. By leveraging AI in their creative processes, artists can expand their creative horizons and push the boundaries of their work. Additionally, AI can democratize access to creative tools. AI platforms can help inspire creators without formal education in music or art to express themselves artistically, lowering barriers to participation and promoting an inclusive creative community.
The use of AI in creative industries raises several ethical concerns; the most significant one being the possibility that AI will violate intellectual property rights. Authorship and ownership concerns surface since AI systems produce content based on pre-existing works. Serious inquiries, such as the ownership of AI-created arts, are raised: Who owns the rights? Is it the AI itself, the user who provided
the prompt, or the AI's creator?
Similarly, concerns of job displacement are also equally prevalent. As AI technology becomes more capable, there are worries of AI replacing human creators in some disciplines. Though AI can perform repetitive tasks tirelessly, it cannot replace the nuanced understanding and emotional depth that human creators bring to their work. AI should therefore be seen as a tool that enhances human creativity in their work rather than as a replacement.
Collaboration
Speaking of the future, the use of AI in creativity will likely be a collaborative one. Human creators and AI can complement each other's strengths and cover each other's weaknesses to produce innovative, novel, and helpful ideas. It is also necessary to establish ethical rules and guidelines to keep human creativity at the forefront and to ensure the use of AI responsibly.
In conclusion, even though AI has made waves in the creative industry with its intelligent designs, suggestions, and relatively cheaper operations, human creativity is here to stay. AI lacks the personal touch, depth, and relevance that human creations so effortlessly have. This said, it is still the responsibility of humans to not feel animosity towards AI but instead embrace it as a tool or partner that enhances their creativity. By integrating AI into the creative process responsibly and ethically, we can foster a future where technology and human creativity can coexist and flourish together.
(Regmi is currently pursuing a Master's degree in Information Technology at Purbanchal University, Nepal.)