November 2020 – Locke Lord LLP and Novarica look at the laws and regulations around avoiding discrimination in insurance pricing and coverage tied to machine learning and AI, the expansion of privacy laws in the insurance customer lead generation business, and the new technologies brought about by the pandemic to track private information and protect collected data.
Concerns around inadvertent discrimination and underwriting pricing transparency arising from the growth of AI and predictive analytics have led regulators to take a close look at how biases can be built into or learned by AI. CIOs must also keep a watchful eye over such technologies.
The continuing expansion of privacy laws in the insurance customer lead generation business is impacting how digital marketing can be done and what data it can use. The pandemic has also sparked the need to deploy new technologies to track private information and protect collected data.

About the Author
Datos Insights
We are the advisor of choice to the banking, insurance, securities, and retail technology industries–both the financial institutions and the technology providers who serve them. The Datos Insights mission is to help our clients make better technology decisions so they can protect and grow their customers’ assets.