Enthusiast Does Not Mean Advocate: Why I Study AI in Art & Culture
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When I tell people I’m an AI enthusiast in the context of art and culture, it often gets misunderstood as advocacy for replacing artists with algorithms. But that couldn’t be further from the truth.
My enthusiasm isn’t for automation — it’s for understanding. I'm a lifelong learner, and there isn't a better time to learn.
I’m enthusiastic about the questions, the discoveries, the conversations. I’m enthusiastic about learning how these systems work, so artists aren’t left behind by technologies they didn’t get to shape. I’m enthusiastic about building the literacy that empowers creators rather than threatens them.
Because if we don’t understand AI, we can’t protect our craft from it.
My work — whether through EART, Novalane, or my own cultural research — is about being a bridge. A bridge between artists and the emerging tools reshaping our field. A bridge between fear and clarity. Between speculation and strategy.
I study AI so I can translate it.
I explore it so I can explain it.
I question it so artists can keep owning their voices, their styles, their stories.
So when I say I’m enthusiastic about AI in art and culture, I’m really saying this:
I’m enthusiastic about artists staying powerful, informed, and in control.
And I will keep learning — so I can keep sharing.
Because the future of art should be shaped with artists, not around them.