Explainable AI

Summary

The most advanced artificial intelligence (AI) approaches are often as opaque as they are powerful. This creates a risk that results will be misinterpreted or misused. Across the world, financial service regulators are contemplating banning or restricting the use of AI techniques whose results cannot be interpreted or explained. But what is “explainability” and how can this be achieved for complex models? In this session, we will explore current methods and research in the field of explainable AI.

Presenters

Prof. Dr. Barış Sürücü: Prof. at Department of Statistics at Middle East Technical University
Karl Ruloff: Senior Manager, FS Risk – Quant and Analytics Services at EY

Chapter Event

In our chapter events – access for members only – we present one or more speakers to share knowledge, updates and best practises on a specific risk topic. In small groups of risk professionals you can exchange thoughts and test ideas. More on SRA chapters. This event is hosted by the chapters Risk Analytics and Models and Digital Age.