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Facebook exploit user data to remain top dog

Documents uncovered by NBC news indicate that Facebook CEO, Mark Zuckerberg, has been exploiting user data as a means to gain leverage over rivals.

These documents include emails, web chats, presentations, spreadsheets and meeting summaries, revealing how Zuckerberg had planned to utilise the data despite insisting that governments need to do more to protect user’s data at the beginning of the month.

Source: Facebook exploit user data to remain top dog

People have no absolute right to fadas in names

Irish people don’t have an “absolute right” to have their names spelt correctly, the State data watchdog has ruled.

Ciarán Ó Cofaigh complained to the Data Protection Commission after medics refused to include the fada on his name because computer software does not allow for fadas. He alleges the Health Service Executive (HSE) was in breach of Article 16 of the GDPR that gives the right to people to have “inaccurate personal data” held by organisations corrected “without undue delay”.

Source: People have no absolute right to fadas in names, watchdog finds

EU pushes to link tracking databases

Lawmakers are set to approve plans for an enormous new database that will collect biometric data on almost all non-EU citizens in Europe’s visa-free Schengen area.

The database — merging previously separate systems tracking migration, travel and crime — will grant officials access to a person’s verified identity with a single fingerprint scan.

Source: EU pushes to link tracking databases – POLITICO

How To Avoid Bias In Data Collection

Data collection is the most crucial part of machine learning models as the working of the model will completely depend on the data which we push as training.

Knowing what you really want to do with your data and more basically its purpose to serve your specific project is a very crucial part. You should develop a clear understanding of the data requirements before you take any further step of collecting data.

Full article: How To Avoid Bias In Data Collection

Bounty UK fined £400,000 for sharing personal data unlawfully

The Information Commissioner’s Office (ICO) has fined Bounty (UK) Limited £400,000 for illegally sharing personal information belonging to more than 14 million people.

An ICO investigation found that Bounty, a pregnancy and parenting club, collected personal information for the purpose of membership registration through its website and mobile app, merchandise pack claim cards and directly from new mothers at hospital bedsides.

Source: Bounty UK fined £400,000 for sharing personal data unlawfully

The Pitfalls of Personalisation

Hyper-personalisation is often considered the ‘holy grail’ of consumer experiences. It’s convenient, it’s targeted and in an ideal world it’s exactly what the consumer needs. But three quarters of consumers find at least some personalised marketing “somewhat creepy”.

On both sides of the Atlantic, attitudes towards data, privacy and personalisation are shifting. In the US, 57% of consumers say they’re now more concerned about data and privacy than they were a year ago. And 68% would like to see the US adopt a strict data-privacy law, similar to Europe’s General Data Protection Regulation (GDPR). In Europe itself, research by the Open Data Institute found that as little as 2% of consumers trust advertisers with their personal data.

Full article: The Pitfalls of Personalisation

Amazon staff listen to customers’ Alexa recordings

Staff review audio in effort to help AI-powered voice assistant respond to commands.

When Amazon customers speak to Alexa, the company’s AI-powered voice assistant, they may be heard by more people than they expect, according to a report. Amazon employees around the world regularly listen to recordings from the company’s smart speakers as part of the development process for new services.

Source: Amazon staff listen to customers’ Alexa recordings, report says

Your Data Might Be Safe in the Cloud But What Happens When It Leaves the Cloud?

Cloud service providers can successfully protect data physically and technologically while it is in the cloud, but that information can be vulnerable to hacking as soon as it leaves the cloud to interact with another system.

To protect your data through every transaction, take the following measures:

  1. Practice internet safety.
  2. Encrypt connected devices.
  3. Use multifactor authentication (MFA).
  4. Protect backups.

Full article: Your Data Might Be Safe in the Cloud But What Happens When It Leaves the Cloud?

Your social media activity and your credit score

Banks and credit agencies have started coming up with creative ways of assessing risk of “unbanked” or “credit invisible” people.

They’re calling it “alternative data,” which really just means data that isn’t normally used in a credit report. That could be things like proof of rental payments, or mobile phone bill payments, or cable TV payments. Anything people can use to prove that they’ve paid bills on time certainly helps.

But it doesn’t stop there. In a report on alternative data, Experian proposed also using things like a person’s educational history, occupation, and even social media activity. “Yelp reviews, Foursquare check-ins and online rankings and ratings can all shed light on a business’s health, growth and stability,” the report explains.

Source: Forms From the Future: your social media activity and your credit score.

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