Ikigai is a Japanese word and concept that essentially means to find purpose in everything you do. The diagram below illustrates it better than words can, but in short, it’s about finding that sweet spot where the things you love, the things you’re good at, things the world needs and things you can be paid for meet. This, in essence, is ikigai.
The concept can also be applied to AI development to ensure a real sense of purpose. Here’s how.
The core of AI development
The first question to ask before an AI development should be ‘Why?’. There needs to be a purpose for the tool, model or program you develop. This aligns with the ‘what the world needs’ part of the ikigai concept because there’s simply no point in building something that people don’t need.
Although AI is incredible technology – perhaps some of the most advanced on the planet, that doesn’t mean everything should be complex. Simplicity is the key to AI development, as it avoids over-complicating and delivering a model that nobody can use.
Aligning with passion
Most people do better work when they do things that interest them. So, developers should pursue the creation of AI models for applications they’re passionate about. This helps to combine the ‘things you love’ and ‘things you’re good at’ sections of ikigai.
Ethical and responsible
If we consider ‘what the world needs’, we need to think objectively. While a developer may be keen to explore AI technology and create something incredible, it still needs to be ethical and serve a meaningful purpose. An AI model that’s potentially harmful isn’t something the world needs.
Balancing needs and purpose
Ultimately, as an AI developer, you can quite easily achieve ikigai from your work. Your skills alone hit the ‘what you’re good at’ concept, while building something you’re passionate about achieves the ‘what you love’. As long as your model is ‘what the world needs’, you’ll likely be paid for it. And there you have it – all 4 points of ikigai intersect, meaning your AI model has a genuine purpose.Unlock Success with Human Pixel