What will be the legacy of AI among the younger generation?
Today was the first day I spent working at a Python data-visualization camp at school for high school students. It was refreshing to spend time with students ranging from freshman to seniors, with coding experience that varied from a few programming courses under their belt to no formal coding at all.
Alongside my fellow teaching assistant Sam, I assisted two of my professors in teaching the students data representation basics. We covered some beginner Python including graphing with matplotlib. Throughout the day, we talked about AI and the future state of data science and the tech industry with the students.
Interacting with these young students within the context of data science and talking about AI sparked an interesting thought in my mind:
How will the next generation (and even the current elementary/middle/high-schoolers) correctly identify and respond to AI, specifically AI images, videos, and graphics which only continue to improve rapidly?
Over the past years, those of us in the AI and tech space have rapidly watched the development and improvement of these AI models, which quickly expanded beyond the scope of just the field into the public space. Even now, many non-technical adults can differentiate between AI and the work of a human in the visual space (although there are many that could use some assistance with this). Consider the ‘before’ when everything was the work of a human. How will those currently too young to understand the ‘before’ be able to successfully differentiate the work of AI in the ‘after’ world of today?
What implications will this have for society as the next generation moves through their younger years and takes their place in the workforce?
I am very curious to hear any thoughts on the matter. Please feel free to reach out on LinkedIn!