Archives November 12, 2019

Google’s Secret ‘Project Nightingale’ Gathers Personal Health Data on Millions of Americans

Google is teaming with one of the country’s largest health-care systems on a secret project to collect and crunch the detailed personal health information of millions of Americans across 21 states, WSJ reported Monday, citing people familiar with the matter and internal documents.

The initiative, code-named “Project Nightingale,” appears to be the largest in a series of efforts by Silicon Valley giants to gain access to personal health data and establish a toehold in the massive health-care industry. Amazon.com, Apple and Microsoft are also aggressively pushing into health care, though they haven’t yet struck deals of this scope. Google launched the effort last year with St. Louis-based Ascension, the country’s second-largest health system. The data involved in Project Nightingale includes lab results, doctor diagnoses and hospitalization records, among other categories, and amounts to a complete health history, complete with patient names and dates of birth.

Neither patients nor doctors have been notified. At least 150 Google employees already have access to much of the data on tens of millions of patients, according to a person familiar with the matter and the documents.

Google in this case is using the data in part to design new software, underpinned by advanced artificial intelligence and machine learning.

Google appears to be sharing information within Project Nightingale more broadly than in its other forays into health-care data. In September, Google announced a 10-year deal with the Mayo Clinic to store the hospital system’s genetic, medical and financial records.

Google co-founder Larry Page, in a 2014 interview, suggested that patients worried about the privacy of their medical records were too cautious. Mr. Page said: “We’re not really thinking about the tremendous good that can come from people sharing information with the right people in the right ways.”

Study of Over 11,000 Online Stores Finds ‘Dark Patterns’ on 1,254 sites

A large-scale academic study that analyzed more than 53,000 product pages on more than 11,000 online stores found widespread use of user interface “dark patterns” — practices meant to mislead customers into making purchases based on false or misleading information.

The study — presented last week at the ACM CSCW 2019 conference — found 1,818 instances of dark patterns present on 1,254 of the ~11K shopping websites (~11.1%) researchers scanned. “Shopping websites that were more popular, according to Alexa rankings, were more likely to feature dark patterns,” researchers said. But while the vast majority of UI dark patterns were meant to trick users into subscribing to newsletters or allowing broad data collection, some dark patterns were downright foul, trying to mislead users into making additional purchases, either by sneaking products into shopping carts or tricking users into believing products were about to sell out. Of these, the research team found 234 instances, deployed across 183 websites.