The success of an artificial intelligence (AI) algorithm depends in large part upon trust, yet many AI technologies function as opaque ‘black boxes.’ Indeed, some are intentionally designed that way. This charts a mistaken course.

Continue Reading FTC Enforcement Highlights the Importance of Preserving Privacy in AI Development: How to Avoid AI Model Destruction

Throughout 2021, we closely monitored the latest privacy laws and a surge of privacy, cybersecurity, and data asset management risks that affect organizations, small and large. As these laws continue to evolve, it is important for companies to be aware and compliant. We will continue to monitor these trends for 2022.

The attorneys of the Privacy, Cybersecurity & Data Asset Management group have written on a wide range of notable developments and trends that affect employers and health care providers. In case you missed any, we have assembled a recap of our top 10 blog posts of 2021, with links to each, below:

Continue Reading A Year in Review: Top 10 Privacy, Cybersecurity & Data Asset Management Issues in 2021

On October 22, 2019, the Centers for Medicare and Medicaid Services (“CMS”) issued a Request for Information (“RFI”) to obtain input on how CMS can utilize Artificial Intelligence (“AI”) and other new technologies to improve its operations.  CMS’ objectives to leverage AI chiefly include identifying and preventing fraud, waste, and abuse.  The RFI specifically states

The market for direct-to-consumer (“DTC”) genetic testing has increased dramatically over recent years as more people are using at-home DNA tests.  The global market for this industry is projected to hit $2.5 billion by 2024.  Many consumers subscribe to DTC genetic testing because they can provide insights into genetic backgrounds and ancestry.  However, as

The healthcare industry is still struggling to address its cybersecurity issues as 31 data breaches were reported in February 2019, exposing data from more than 2 million people.  However, the emergence of artificial intelligence (AI) may provide tools to reduce cyber risk.

AI cybersecurity tools can enable organizations to improve data security by detecting