The aim of this project is to develop an AI Risk Index that measures companies’ exposure to artificial intelligence related risks using machine learning and natural language processing techniques. Artificial intelligence technologies, especially generative AI, have become increasingly integrated into business operations, resulting in new challenges, such as ethical concerns and regulatory uncertainty. The goal is to identify how firms perceive, manage, and communicate risks associated with AI. The resulting index will offer a scalable, data-driven tool to monitor AI risk across industries and geographies over time. This has important implications for investors and corporate decision-makers aiming to assess systemic risks posed by rapid AI adoption.
Advanced coding skills are required.
About Project Supervisors
Onur Varol
Şefir Aziz Şimşir