AI ethics has a communication problem. The frameworks that get published — responsible AI principles, algorithmic fairness guidelines, bias auditing standards — are almost uniformly written at a level of abstraction that makes them nearly impossible to operationalise.
AI Governance
AI Ethics for Practitioners: Moving Beyond Principles
Most AI ethics frameworks are written by ethicists for policy audiences. This is written by engineers for the people who actually build and deploy AI systems.
