Maximilian Goehmann, PhD candidate in Information Systems and Innovation
We are pleased to share that Maximilian Goehmann, PhD Candidate in Information Systems and Innovation, has recently published a paper that is under consideration by the UK Parliament Treasury Committee Inquiry on AI in Financial Services.
Maximilian’s research examines a critical and often overlooked systemic risk in modern financial markets: the impact of disputable data, such as duplicated, missing, or incorrect price quotes, on AI-driven Automated Trading Systems (ATS).
Based on his doctoral research at LSE, the paper demonstrates how disputable data can quietly propagate through tightly coupled algorithmic trading systems, distorting market signals and contributing to systemic fragility.
“Having my research published and actively considered by such an influential governing body, particularly in a global financial hub like the UK, means a great deal to me”, Maximilian said. “It shows that academic work can meaningfully contribute to real-world policy discussions at the highest levels.
“My hope is that this will help foster a wider conversation around the foundations of free and efficient markets and encourage the protection of those foundations in an increasingly AI-driven financial ecosystem, without over-regulating it.”
Maximilian’s paper proposes a more data-centric approach to regulation, including real-time data quality monitoring, stress testing of AI models for data robustness, and a certification framework for financial data providers, to help safeguard market stability.
Friday 13 June 2025