In real-world settings, from flawed predictive policing to biased lending practices, artificial intelligence systems have been shown to reflect and amplify systemic inequalities. These challenges often stem from deploying AI without sufficient safeguards. To mitigate harm and build responsible technologies, organizations need to establish a clear framework of actionable principles before implementation. Doing so ...