Creativity at Risk: The Downsides of AI and Machine Learning in Innovation
The Potential Pitfalls of Artificial Intelligence and Machine Learning in Creativity
Artificial Intelligence (AI) and Machine Learning (ML) have come a long way in recent years, and their potential applications seem endless. From self-driving cars to chatbots and virtual assistants, AI and ML have already made a significant impact on various industries. However, as the technology becomes more advanced, concerns arise regarding its impact on creativity.
The text above highlights a fundamental issue with AI and ML, how it favors the “done and finished” past over creating something new and innovative. When a person is faced with a blank page, they draw from past experiences and write about them, resulting in something unique and creative. In contrast, an AI model that has only been trained on previous datasets will produce similar results, and this is where the danger lies.