From Principles to Practice: Actionable Blueprints for Ethical AI
Security Boulevard, Sunday, July 19th, 2026
Dan Lohrmann lays out concrete frameworks for turning AI ethics principles into day-to-day organizational practice.
Dan Lohrmann examines practical frameworks for putting ethical AI principles into operation. He highlights the CLEAR prompting framework, covering concise, logical, explicit, adaptive, and reflective use of generative AI, alongside the C2V2 governance framework for data management.
The article argues human accountability must stay central to AI-driven decisions, citing lawsuits against Meta and Workday over AI bias in employment decisions.
Organizations are urged to treat AI outputs as preliminary drafts requiring verification, keep humans in the loop, and put safeguards in place against proprietary data exposure.
It closes with five core questions organizations should answer to assess their AI ethics maturity.