B School for Public Policy
Seminar by Professor Tom Baker
Financial “robo advisors”—automated services that rank, or match consumers to, financial products on a personalized basis, sometimes in addition to selling or providing educational information about these products—have gained significant attention in the investment industry. But there has not yet been a consensus on how to regulate them. Robo advisors have the potential to equal or exceed the quality of human advisors, but they don’t fit into the category of fiduciary, and therefore are not currently held to the same regulatory standard that humans advisors are. Nonetheless, they are subject to systemic risks and the potential for abuses that can hurt consumers. This seminar explored the regulatory challenges involved in fostering a market that promotes the development of more sophisticated robo advisor technology while also serving and protecting the heterogeneous interests of financial product consumers.
Regardless of the specific financial service, there are four core components of robo advisors that require distinct capabilities to assess. Each of these components has their own regulatory concern.
Information Technology Infrastructure
Because robo advisors rely on access to financial, health, banking, and other private data, IT security is paramount. Financial services regulators already appear to recognize the need to enhance their capacities in this area.
Just as there are regulatory concerns about algorithms, there are questions about data—not only in ensuring the quality of the data, but also taking a proactive role in making data available. One key factor that determines what type of robo advisors is developed is the ease by which certain types of data can be obtained. For example, data surrounding publicly traded securities are easily accessible, however, in the cases of mortgages, credit cards, and private insurance, this is not so. Without access to reliable data, certain parts of the financial sector will be unable to benefit from the automated function of robo advice.
The Open Banking or Open API Initiative, which is making progress in Europe, is one example of government acting to make data available to facilitate a private market in tools. The regulatory concerns about data are about access: has the company obtained access to reasonable sources of data and are there any concerns that an inability to obtain data will lead to bias; where there are gaps in data, what are the strategies that the robo advisor considered to address the gaps; does the regulator have the authority to increase access to data and thereby improve the quality of the robo advice?
“I have a mantra about data. The less you’ve worked with data, the better you think data are.”
In looking at choice architecture—the organization of the context in which people make decisions—the regulatory concern is with biases in how information is presented to the consumer and how the design of the interface can impact decision making. Regulators need to review and confirm that the company has done rigorous experimental testing in order to assess whether the robo advisors reflect a meaningful and empirically informed choice architecture effort. This testing and verification is more difficult in the context of hybrid robo advisors, in which customers interact with a person who operates the robo advisor behind the scenes.
Robo advising technology is in a nascent stage of development and researchers are just beginning to understand the potential implications of how automated services will change the financial industry. As these automated services proliferate, regulators will need to take a more active role in assessing minimum competence, protecting consumers, and ensuring robo advising companies have access to high quality data. But what is the proper role for government in monitoring the quality of robo advice? For instance, should there be a minimum competence and honesty standard for robo advisors, the equivalent of a broker’s license, or registered investment advisor license and insurance agent license? Furthermore, what is the role of government in making data available to facilitate entrepreneurship in the development of a wide range of robo advice tools? While regulators of course need to be vigilant, it is also important they not over-react to the deployment of robo advisors.
 Ubel, Peter A., David A. Comerford, and Eric Johnson. “Healthcare.gov 3.0 — Behavioral Economics and Insurance Exchanges.” New England Journal of Medicine 372, no. 8 (2015): 695-98. doi:10.1056/nejmp1414771.