Dr. Abdelwahid Salih is the originator of the Theory of Algorithmic Financial Cognition (TAFC) — a foundational framework that reframes artificial intelligence in global finance not as a computational tool, but as an autonomous cognitive infrastructure governing the generation of financial knowledge, systemic decisions, and unpriced epistemic risks. His work introduces the Salih Index for Algorithmic Diversity (SIAD) and the Cognitive Capital Surcharge (CCS) as concrete Basel IV-compatible macroprudential instruments, both peer-reviewed and published on SSRN (Elsevier).
This intellectual architecture is grounded in over two decades of institutional practice at the intersection of global policy and financial governance — including 18 years at a Permanent Mission to the United Nations in Geneva, where he translated high-level multilateral objectives into actionable policy frameworks. His academic foundation spans a Doctorate in Business Administration (DBA), an MBA, and advanced studies in Economics. A core pillar of his analytical method is the concept of reflexivity — the understanding that our perceptions of systems actively alter the systems themselves — a principle that underpins both the TAFC framework and the SIAD diagnostic architecture.
His current research agenda focuses on how algorithmic homogeneity in global financial markets constitutes a novel, unpriced category of systemic risk — one invisible to traditional stress-testing regimes. By operationalizing this risk through measurable vectors, the SIAD Index offers regulators, central banks, and Tier-1 institutions a quantitative instrument for epistemic resilience assessment in an era of increasingly convergent AI-driven decision-making.
