Dance hall rules: data science ethics today will impact artificial intelligence tomorrow

It's also a question of making models behave in line with organizational strategic objectives AND ethics. Following this logic, an essential part of effective model management really becomes outcomes assessment, not just in terms of accuracy, but are we ethically in line and producing ethical outcomes. We have a realistic chance to teach desired behaviors in our predictive models. In this age of analytics sandboxes and playpens, what kind of structures can we envision?