This week we begin an article on the use of geolocation data to protect the voting rights of citizens on election day and gauge the hindrances in voting at different places. Next, we have a New York Times story on how data cannot be substituted for human experience and knowledge, in the light of the ongoing pandemic. The following article is about a data leak of 23,600 hacked databases from a ‘data breach index’ site, made available for download on hacking forums and Telegram Channels. Then, we have a piece by Harvard Business Review on how Artificial Intelligence can increase fairness in credit decisions and remove biases in lending. Following this is an article on the efforts to centralize and pool together fragmented healthcare data in the United States to fight the next pandemic. To end, we have enclosed a live Bloomberg Report on the 2020 US Presidential Election Results.
Your phone already tracks your Location. Now that data could fight voter suppression
Smartphone location data is a dream marketers who want to know where you go and how long you spend there and a privacy nightmare. But this kind of geolocation data could also be used to protect people’s voting rights on Election Day.
The Human Experience Will Not Be Quantified
In March, when the first spike of Covid-19 cases in New York was filling hospitals and panicking the city, my immunocompromised mother-in-law and my eight-month pregnant wife both contracted the disease. At first, it was just like a bad cold, but soon my wife was crying in pain every time she coughed and my mother-in-law could barely get out of bed.
23,600 hacked databases have leaked from a defunct ‘data breach index’ site
More than 23,000 hacked databases have been made available for download on several hacking forums and Telegram channels in what threat intel analysts are calling the biggest leak of its kind. The database collection is said to have originated from Cit0Day.in, a private service advertised on hacking forums to other cybercriminals.
AI Can Make Bank Loans More Fair
As banks increasingly deploy artificial intelligence tools to make credit decisions, they are having to revisit an unwelcome fact about the practice of lending: Historically, it has been riddled with biases against protected characteristics, such as race, gender, and sexual orientation. Such biases are evident in institutions’ choices in terms of who gets credit and on what terms.
The Ambitious Effort To Piece Together America’s Fragmented Health Data
From the early days of the COVID-19 pandemic, epidemiologist Melissa Haendel knew that the United States was going to have a data problem. There didn’t seem to be a national strategy to control the virus, and cases were springing up in sporadic hotspots around the country. With such a patchwork response, nationwide information about the people who got sick would probably be hard to come by.
2020 Presidential Election Results
Bloomberg News is reporting live election results in the presidential race between Republican Donald Trump and his Democratic challenger, former Vice President Joe Biden. The Associated Press announced on Nov. 7 that Biden had reached the 270 electoral votes needed to win.
Source: https://mailchi.mp/zigram/data-asset-weekly-dispatch_09_november_1
