It was the year 1956, when a professor at Dartmouth College, John McCarthy coined the word “artificial intelligence” during a summer workshop organized to clarify ideas about “thinking machines”.
Since then world of AI has gone through significant strides from being: an idea; a rule based system(Expert Systems); an algorithm that learns from data without being explicitly programmed to do so (Machine Learning); programmed to imitate the human brain using interconnected nodes processing information (Neural Networks) and now to being able to process image recognition and natural language processing (Deep Learning).
Due to these strides, debates about the possibility of AI replacing human creativity and leading to job losses began to spread like wildfire. With highly sophisticated AI tools like Deepseek, Dall-E 3, GPT-4, Stable Diffusion, Udio, and others, the lines between human generated contents and machine generated contents are rapidly blurring, causing a mix of excitement and anxiety in the human populace.
AI Creativity
AI is driven by various subsets like: Machine learning (ML); Deep learning; Natural language processing (NLP); Computer vision; Speech recognition; Neural network; Expert systems and Robotics. Each subset serves as a building block for AI creativity. The major subsets are: Machine learning, Natural language processing, Deep learning and Neural Network
- Machine learning allows computers to create models that can analyze data, discover patterns and make predictions from the data without being told what to specifically look for.
- Natural language processing is a machine language model that allows computers to interpret, manipulate and comprehend human language. It is used for email filters, smart assistants like Apple’s Siri and Amazon’s Alexa, search results, predictive text (autocorrect), digital phone calls, data and text analysis
- Neural network is a Machine learning model designed to function like the human brain. It makes use of ‘units’ similar to brain cells to convey information from one point to another, go over information multiple times to find connections and meaning.
- Deep learning is an advanced model of Neural networks. It makes use of more layers of Neural network ‘units’ to learn from various data sets and understand intricate patterns like classifying, recognizing and describing objects within the data.
These AI subsets are what enables it to be able to carry out creative functions like:
- Visual Arts: using tools like Canva, Adobe Firefly, Dall-E, Jasper AI and so on, that operates on text-to-image prompts to create AI- generated images. Adobe Sensei, automates image editing and design adjustments for creatives.
- Music Composition and Video Generation: tools like Udio AI have the function to generate lyrics based on prompts, the voice and also music genre as well. The entire production process is done on a single app. AI tools like Haiper AI operate on image-to-video or texts-to-video prompts to create videos and animations. Other AI tools used majorly for editing purposes are Runway used for video editing and Adobe Podcast for audio edits amongst others.
- Content Creation: AI tools like GPT-4, Gemini, aid in brainstorming ideas and generating quality written contents
- Architectural design: some AI tools like Midjourney can be used to generate preliminary design concepts and photorealistic rendering, others function as assistants like Autodesk Forma.
Can AI replace Human Creativity?
AI does boast of many enviable and intriguing qualities and prowess, however, it is not enough to replace human creativity. Human creativity is a signature blend of context, uniqueness, intuition, emotional depth, consciousness, spontaneity, empathy and subjective interpretations (results based on perceptions and biases).
AI relies on algorithms and data inputs to function and make decisions. When used over time for creative contents, the results start to come off as being repetitive and generic as it lacks emotional understanding and subjective interpretation associated with human creative endeavors.
Human Creativity is the bedrock of innovations for the past, present and future. Only when AI is able to manifest all qualities of the human mind can it be sure to replace human creativity. But until then, AI can only enhance and aid the human creative process, not replace it.
