Regulating Algorithmic Insurance

53 Pages Posted: 27 Mar 2019

Date Written: March 4, 2019

Abstract

This article addresses emerging gaps in consumer protection. As is true in other industries, insurers are revolutionizing their practices with artificial intelligence and big data. Insurers are finding new ways to price risks and policies, tailor coverage, offer advice to purchasers, identify fraud, and sequence the payment of claims. Regulators are struggling to keep up with these changes and these changes have subverted the protections for consumers built into current regulatory regimes.

This is not a niche problem. Insurance regulation is a necessary part of solving complex market failures in this vital industry. Insurance is a critical part of the United States economy, raking in over 1.2 trillion dollars in premiums a year; employing more than 2.5 million people; and undergirding transactions as simple as home purchases and as complex as corporate mergers and acquisitions, the multi-trillion-dollar tort system, and a vast system of private risk management and loss avoidance advice. The market for insurance is, however, surprisingly inefficient. Deep information asymmetries make it difficult for consumers to evaluate the quality of policies and carriers, insurers to price risks properly, and make it possible for both sides to act opportunistically. What’s more, behavioral barriers hamper purchasers, who often buy too little or the wrong insurance. And, in some markets, private insurers might not be willing to supply enough insurance because the underlying risks cannot be adequately spread.

Most of the previous legal scholarship about algorithmic justice has been in the context of information platforms, criminal justice, and employment discrimination. This article connects to those discussions and expands them in the specific context of insurance. It does so by providing a taxonomy of the changes in the insurance industry, the potential danger to consumers as a result of those changes, the reasons for regulation, and the ways that regulators must adapt to protect individual consumers and the insurance market.

Keywords: Artificial Intelligence, Insurance, Regulation, Consumer Protection

JEL Classification: G22, K23, L50

Suggested Citation

Swedloff, Rick, Regulating Algorithmic Insurance (March 4, 2019). Available at SSRN: https://ssrn.com/abstract=3346753 or http://dx.doi.org/10.2139/ssrn.3346753

Rick Swedloff (Contact Author)

Rutgers Law School ( email )

217 N. 5th Street
Camden, NJ 08102
United States

HOME PAGE: http://law.rutgers.edu/directory/view/swedloff

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