Measuring Firm Level AI Risk

Term: 
2024-2025 Summer
Faculty Department of Project Supervisor: 
School of Management
Number of Students: 
2

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. 

Related Areas of Project: 
Computer Science and Engineering
Industrial Engineering
Management
Business Analytics

About Project Supervisors

Onur Varol
Şefir Aziz Şimşir