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How ChatGPT made me realize where bad design comes from
AI is prompting us to do better design.
There’s no question that AI is revolutionizing design — hell; it’s already an indispensable tool that I constantly use to help me condense the time from idea to action in my professional and personal life.
Now, with the advent of GPT-4, the just-released multi-modal product from Open AI, the promise is even better results using both text and images, and eventually, audio and video.
Exciting, right? Yes, and while it theoretically changes everything, it can’t change one crucial factor: the human element.
I’m not talking about emulating humans — if you ask ChatGPT itself if it’s going to replace people, it tells you this:
“As an AI language model, I am not designed or intended to replace humans. My purpose is to assist and enhance human capabilities by providing helpful and informative responses to queries and questions. While AI technology continues to advance and evolve, it is unlikely that machines will ever fully replace human beings. We each have unique strengths and abilities, and there will always be tasks and functions that require the creativity, empathy, and intuition of human beings.”
Exactly! Excellent design solves uniquely human problems, and it takes people like you and me to figure out what those challenges are and who needs help surmounting them.
This is something we’re never going to be able to pawn off on the machines, so in this article, I’m going to give you a good example of how design goes wrong and how to fix it by asking better questions in your design process. After all, the biggest flaws in the machine are in our hands, from a lack of prep, discovery, and understanding of the audience and problem to ill-defined processes. Once we clarify the things we humans must do better, we can get to best AI practices and the art of writing better prompts to build your business and boost your bottom line.
