Responsible AI & ethics

Whether an AI use is responsible is not decided once but again and again: at design, at training, at every decision the system supports. Organisations that get this right do not have thick ethics reports — they have working agreements: who decides, what is logged, when a human intervenes, how we explain what the system does.

What you get

• Setting up AI governance: roles, policy, decision-making and oversight — sized to your organisation
• Guidance on impact assessments: IAMA, FRIA, DPIA — as one integrated process, avoiding duplicate work
• Ethical analysis of concrete uses, including facilitation of moral deliberation
• Tailored AI frameworks: from principles to testable design requirements (explainability, human oversight, bias control)

Mini-case: The Decision Advisory System (BAS) at the CIZ was all about these questions: how do you keep a human in the loop for decisions that directly affect citizens, and how do you make a model's advice explainable? Read the case.