Individuals impacted
People affected by AI bias
Confidential advice, support and a verified place to report unequal treatment from any AI system — free for affected individuals.
An institution, not a vendor.
Built to outlive any single technology or political cycle — structured for durable independence.
Who we are
AI is making life-altering decisions — biased, unseen, unchallenged. AIBRAI exists to change that.
AIBRAI — the AI Bias Reporting & Accountability Initiative tackles algorithmic bias from four angles at once: listening to the people harmed, auditing the systems responsible, mapping the rules that govern them, and arming decision-makers with the evidence to act.
Advisory
Auditing high-stakes AI systems before they harm.
Research
Producing the evidence regulators and courts can trust.
Intelligence Hub
Tracking every major AI rule, in one place.
Registry
Giving people harmed by AI a verified place to be heard.
Who we serve
Trusted across four worlds.
From individuals harmed by an algorithm to the regulators, researchers and companies shaping AI — AIBRAI works across the full accountability chain.
Private sector
Frontier AI labs & enterprise
Bias audits, red-teaming and regulatory readiness designed for the companies building and deploying high-stakes models.
Public sector
Regulators, courts & institutions
Expert review, evidence and methodology for the institutions tasked with overseeing algorithmic systems.
Academia
European universities & academics
Joint research programmes, peer-reviewed studies and shared infrastructure designed for collaboration with academic research centres.
Principles
Six rules we never bend.
Independence
No equity from AI vendors. We decline engagements that compromise our ability to publish findings.
Methodological rigour
Every audit follows a documented, reproducible methodology — defensible to regulators, courts and peer review.
Anonymity by design
The registry never logs reporter metadata. Sources are protected even from us.
Plain language
Findings are translated into the language of the people affected — not just engineers and lawyers.
Public-interest first
People affected by algorithmic decisions come before the institutions deploying them.
Open methodology
Audit protocols, taxonomies and tooling are published openly — scrutinised, replicated and improved.
Headquarters & Leadership
Headquarters
Bern, Switzerland
Why Switzerland
Neutral ground for a contested technology.
Swiss neutrality, legal certainty and multilingual reach (DE / FR / IT / EN) — close to Brussels, Strasbourg and Geneva, outside any single bloc.
- Independent — no vendor or government capture
- GDPR & Swiss nDSG compliant by design
- Close to EU, Council of Europe & UN Geneva
Leadership
Founder & CEO
Behind AIBRAI
Dr. Valon Hasanaj
Dr. Valon Hasanaj is a Swiss-based academic specializing in AI bias and empirical research methods. He investigates how algorithmic discrimination arises and how accountability can be built into AI systems. His work bridges rigorous research and practical solutions for fairer technology.
info@aibrai.comGlobal reach
Swiss core, worldwide expert network — assembled per engagement.
EU · UK · US & beyond · DE / FR / IT / EN