Lo & Ross on Large Language Models and Fiduciary Duty

Andrew W. Lo (Massachusetts Institute of Technology (MIT) – Laboratory for Financial Engineering) and Jillian Ross (MIT CSAIL) have posted My Co-Pilot, My Friend: Large Language Models and Fiduciary Duty on SSRN.  Here is the abstract:

As large language models (LLMs) assume increasing responsibility in financial advisory roles, their capacity to carry out their fiduciary duties becomes more critical. We consider differences between LLMs and traditional robo-advisors in meeting legal and ethical obligations of care and loyalty. We propose a research agenda for operationalizing fiduciary standards in AI systems through normative frameworks, compliance modules, and regulatory co-design. By aligning LLMs with fiduciary principles, we aim to democratize trustworthy financial advice while anticipating broader implications for the use of LLMs in other professional domains governed by ethical obligations.

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