MLSs race to set AI guardrails before data slips beyond their control

The growing trend of agents using large language models (LLMs) for comparative market analyses (CMAs) has raised concerns among multiple listing services (MLSs) about the potential loss of control over their data. As agents feed extensive MLS datasets into LLMs, there is a risk that sensitive information could be compromised or used in unauthorized ways. This has prompted MLSs to explore the development of closed-loop tools and new governance layers to safeguard their data and maintain control over its use.

The use of LLMs for CMAs has the potential to revolutionize the real estate industry by providing more accurate and efficient market analyses. However, it also poses significant risks if not properly regulated. MLSs are responding to these concerns by weighing the implementation of closed-loop tools that would allow agents to access and utilize MLS data within a secure and controlled environment. This approach would help to prevent data from being shared or used inappropriately, while still enabling agents to leverage the benefits of LLMs for CMAs.

As the situation continues to unfold, it will be important to watch how MLSs balance the need to protect their data with the demand for innovative tools and services that can help agents provide better services to their clients. The development of new governance layers and closed-loop tools will likely be a key area of focus in the coming months. Additionally, the response of regulators and industry stakeholders to these efforts will be crucial in determining the future of MLS data management and the use of LLMs in the real estate industry.

Originally reported by housingwire.com. ASIDNews adds analysis for real estate & property readers.