We live in an age where billionaires are self-made on the back of the most intangible of assets – the information they have amassed about us. That information used to be volunteered in forms and questionnaires and contracts but increasingly personal information is being observed and inferred.
The modern world is awash with data. It’s a new and infinitely re-usable raw material. Most of the raw data about us is an invisible by-product of our mundane digital lives, left behind by the gigabyte by ordinary people who do not perceive it let alone understand it.
Many Big Data and digital businesses proceed on the basis that all this raw data is up for grabs. There is a particular widespread assumption that data in the “public domain” is free-for-all, and if you’re clever enough to grab it, then you’re entitled to extract whatever you can from it.
In the webinar, I’ll try to show how some of these assumptions are naive. The public is increasingly alarmed about Big Data and averse to unbridled data mining. Excessive data mining isn’t just subjectively ‘creepy’; it can be objectively unlawful in many parts of the world. Conventional data protection laws turn out to be surprisingly powerful in in the face of Big Data. Data miners ignore international privacy laws at their peril!
Today there are all sorts of initiatives trying to forge a new technology-privacy synthesis. They go by names like “Privacy Engineering” and “Privacy by Design”. These are well meaning efforts but they can be a bit stilted. They typically overlook the strengths of conventional privacy law, and they can miss an opportunity to engage the engineering mind.
It’s not politically correct but I believe we must admit that privacy is full of contradictions and competing interests. We need to be more mature about privacy. Just as there is no such thing as perfect security, there can never be perfect privacy either. And is where the professional engineering mindset should be brought in, to help deal with conflicting requirements.
If we’re serious about Privacy by Design and Privacy Engineering then we need to acknowledge the tensions. That’s some of the thinking behind Constellation’s new Big Privacy compact. To balance privacy and Big Data, we need to hold a conversation with users that respects the stresses and strains, and involves them in working through the new privacy deal.
The webinar will cover these highlights of the Big Privacy pact:
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