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.
Detecting bias in AI hiring systems
The FINDHR project introduced practical tools, guidelines, and auditing frameworks designed to reduce discrimination in AI-assisted hiring. These resources support more transparent, inclusive, and accountable recruitment practices across Europe.