Tag Archives for " Big Data "

China’s facial-recognition cameras caught suspect tryiing to blend in with 60,000 concertgoers

The man’s unlikely capture became the latest example of China’s growing use of facial recognition technology.

The 31-year-old man, wanted by police, had thought playing a numbers game would be enough to allow him to fade into anonymity.

Source: A suspect tried to blend in with 60,000 concertgoers. China’s facial-recognition cameras caught him. – The Washington Post

Ethics Education in Data Science

Data scientists in academia and industry are increasingly recognizing the importance of integrating ethics into data science curricula.

Recently, a group of faculty and students gathered at New York University before the annual FAT* conference to discuss the promises and challenges of teaching data science ethics, and to learn from one another’s experiences in the classroom.

Source: Ethics Education in Data Science

Cambridge Analytica scandal ‘highlights need for AI regulation’

Britain needs to lead the way on artificial intelligence regulation, in order to prevent companies such as Cambridge Analytica setting precedents for dangerous and unethical use of the technology, the head of the House of Lords select committee on AI has warned.

The Cambridge Analytica scandal, Lord Clement-Jones said, reinforced the committee’s findings, released on Monday in the report “AI in the UK: ready, willing and able?”

Source: Cambridge Analytica scandal ‘highlights need for AI regulation’ | Technology | The Guardian

The privacy pro’s guide to explainability in machine learning

With the GDPR’s implementation date looming, there has been much discussion about whether the regulation requires a “right to an explanation” from machine learning models.

Regardless of the regulation’s effects on machine learning, however, the practical implications of attempting to explain machine learning models presents significant difficulties.

Source: The privacy pro’s guide to explainability in machine learning

The privacy pro’s guide to explainability in machine learning

With the GDPR’s implementation date looming, there has been much discussion about whether the regulation requires a “right to an explanation” from machine learning models.

Regardless of the regulation’s effects on machine learning, however, the practical implications of attempting to explain machine learning models presents significant difficulties. These difficulties will become an increasing focus for privacy professionals as machine learning is deployed more and more throughout organizations in the future. The GDPR, in short, will not be the last law to address this issue.

Source: The privacy pro’s guide to explainability in machine learning

Data Mining and GDPR Compliance

Unlike most privacy regulations in the U.S., the EU defines the term “personal data” broadly—it includes “any information relating to an identified or identifiable natural person (the ‘data subject’).”

This means that even the most basic contact information, such as business card details or simply a name and email address, falls under the GDPR’s protections. Public sources of information, such as a residential phone listing, are not exempted from the GDPR’s restrictions.

Source: Data Mining and GDPR Compliance: Dealing with Obtaining EU Personal Information from Third Parties Under the GDPR (Including a Notification Checklist!) – Lex Indicium

Tips for privacy pros after the Cambridge Analytica revelations

In the wake of the recent Facebook and Cambridge Analytica revelations, privacy professionals may be wondering what this means for the privacy industry.

Many privacy pros are probably grappling with how to explain this case to their clients, executives and other business partners within their organizations.

Source: Tips for privacy pros after the Cambridge Analytica revelations

ESAs weigh benefits and risks of Big Data

The Joint Committee of the European Supervisory Authorities (ESAs) published today its final report on Big Data analysing its impact on consumers and financial firms.

Overall, the ESAs have found that while the development of Big Data poses some potential risks to financial services consumers, the benefits of this innovation currently outweigh these. Many of the risks identified by the ESAs are mitigated by existing legislation.

Source: ESAs weigh benefits and risks of Big Data

What chief data officers can learn from Facebook about better big data security

Here are four tips for improving big data governance strategies in light of the news about Cambridge Analytica’s harvesting of Facebook user profiles.

The harvesting of millions of voter profiles by Cambridge Analytica in order to exploit personal fears and influence the outcome of the 2016 US presidential election has not made life easy for Facebook this recently.

Source: What chief data officers can learn from Facebook about building better big data security practices – TechRepublic

Are Cambridge Analytica’s psychometric insights all that insightful?

Facebook thinks I like snow and a small dog I’ve never heard of. What else has the data got wrong?

I want to be worried that my Facebook data is being used to wage psychological warfare. I want to be terrified that businesses like Cambridge Analytica are able to build a sophisticated psychological profile of me based on little more than my Facebook likes. But right now Facebook thinks my interests include snow and miniature pinschers and pre-school. After googling “miniature pinscher”, something tells me my likes aren’t quite the window into my psyche they’re cracked up to be.

Source: Are Cambridge Analytica’s psychometric insights all that insightful? | Ellen Broad | Opinion | The Guardian

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