Eticas.ai has been evaluating AI systems in production since 2012. This is where we share what we’ve learned. You’ll find case studies from client work, practical guides on AI governance and evaluation, reports on emerging risks, interviews with practitioners, and a glossary of the concepts that matter most in the field. Whether you build AI, deploy it, or are accountable for its outcomes, this is the evidence base we work from.
Socio-Technical Auditing
Socio-technical auditing evaluates an AI system as a complete system, not just the AI models that are used. It assesses data flows, model behavior, business rules, user interface, human oversight, organizational processes, and the real-world outcomes the system produces.